78 Ofertas de Senior Data Engineer Id71670 en Argentina
Descripción Del Trabajo
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Senior Data Engineer to architect, build, and scale a modern data platform — designing production-grade ETL/ELT pipelines, optimizing Snowflake data warehouse schemas, and establishing robust DataOps practices. You will orchestrate workflows using Airflow, Prefect, or Dagster, implement data quality and lineage frameworks, integrate third-party REST APIs and event-driven sources, and apply software engineering standards including CI/CD, Docker, and automated testing to data repositories. The role prioritizes clean, well-tested Python code and a deep commitment to data reliability and accessibility.
WHAT YOU WILL DO
- Design, build, and maintain reliable, scalable ETL/ELT workflows that process batch and streaming data from diverse sources;
- Design production-ready normalized and denormalized schemas in Snowflake to optimize query performance and support enterprise analytics;
- Connect and ingest data from third-party REST APIs, event-driven streams, and batch sources into core data storage platforms;
- Maintain and expand workflow orchestration pipelines using Airflow, Prefect, or Dagster;
- Implement automated data testing, validation, lineage tracking, and proactive alerting frameworks to ensure data accuracy and system uptime;
- Drive CI/CD best practices, maintain codebases using Git and Docker, and adopt Infrastructure-as-Code patterns;
- Apply modern software engineering standards, including design patterns, automated unit and integration testing, and clear documentation.
MUST HAVES
- 4+ years of experience as a Data Engineer ;
- Strong proficiency in Python , including modular, maintainable, and well-tested code;
- Advanced knowledge of SQL, query optimization, database design principles, and normalization/denormalization patterns ;
- Hands-on experience with Snowflake ;
- Production experience with workflow orchestration tools such as Apache Airflow, Prefect, or Dagster ;
- Experience working with REST APIs, event-driven architectures, and batch and streaming pipelines ;
- Experience implementing automated data quality checks, data lineage, and alerting mechanisms ;
- Strong experience with Git, Docker, CI/CD automation, and Infrastructure-as-Code fundamentals ;
- Upper-intermediate English level.
NICE TO HAVES
- Experience with dbt for data transformations;
- Familiarity with major cloud platforms such as AWS, GCP, or Azure;
- Experience with message streaming technologies such as Apache Kafka or AWS Kinesis.
PERKS AND BENEFITS
- Professional growth : Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation : USD-based pay with education, fitness, and team activity budgets.
- Exciting projects : Modern solutions with Fortune 500 and top product companies.
- Flextime : Flexible schedule with remote and office options.
Requirements
Data Engineering core experience: At least 4+ years of experience as a Data Engineer. Core Python Fundamentals: Demonstrable expertise writing modular, maintainable, and well-tested Python code (OOP/functional patterns, package management, standard testing frameworks). Advanced SQL & Modeling: Deep knowledge of complex SQL queries, query optimization, database design principles, and normalization/denormalization patterns. Data Warehousing: Solid, hands-on experience building, managing, and optimizing data architectures within Snowflake. Workflow Orchestration: Production experience using workflow orchestration engines like Apache Airflow, Prefect, or Dagster. Integrations & Ingestion: Hands-on experience working with REST APIs, event-driven architectures, and both batch and streaming pipelines. Data Quality & Lineage: Experience building automated data quality checks, data lineage, and alerting mechanisms (e.g., using tools like dbt test, Great Expectations, or similar). DevOps / DataOps Practices: Strong skills in version control (Git), containerization (Docker), CI/CD automation, and familiarity with Infrastructure-as-Code basics.
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Descripción Del Trabajo
Proofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple: safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people.
**How We Work:**
At Proofpoint you'll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values:
**Bold** in how we dream and innovate
**Responsive** to feedback, challenges and opportunities
**Accountable** for results and best in class outcomes
**Visionary** in future focused problem-solving
**Exceptional** in execution and impact
**The** **Role**
We're seeking a Senior Data Engineer to build and maintain the ML/AI data infrastructure powering our email security platform. In this role, you'll design and optimize scalable data pipelines that enable threat detection and investigation while supporting both machine learning models and LLM-powered agents that provide context-aware security insights.
You'll work on our Detection Intelligence Platform (DIP) building feature engineering frameworks, and offline/online feature stores that serve as the foundation for ML model research and context engineering for AI agents. You'll collaborate with data scientists, ML engineers, and security researchers to build data models and context stores that power our detection systems and enable human security analysts to investigate threats effectively.
**Key Responsibilities** **:**
+ Developandmaintainscalable data pipelines on AWS/Azureusingtechnologies such asSpark,Airflow,Athena,Kubernetesetc.to process structured and unstructured email data at scale
+ DesignandoptimizeIceberg-based data laketablesand schemasfor efficientstorage,queryingandversioningacross petabyte-scale datasetsdistributed across data centers globally
+ Build and managefeature engineering frameworks that support offline batch processing and online real-time featureservingfor ML model training and inference
+ Develop andmaintaintraining data pipelinesoptimizedfor distributed ML model training, ensuring data lineage and reproducibility
+ Collaborate with data scientists and security researchers to understand data requirements and translate them into robust, production-grade data solutions
+ Monitor andoptimizedata pipeline performance, implementing observability and alerting to ensure data freshness and quality
+ Mentor junior engineers and foster a culture of engineering excellence and knowledge sharing
**Required Experience:**
+ Several years of industry experience building andmaintainingdistributed data systems and high-scale data pipelines in a managed cloud environment (AWS/ Azure / GCP)using big data processing engines such as Spark, Flink,Dask,Ray,Beam,DataBricksWorkflowsor similar
+ Deepproficiencyin Python for developing production-grade data processing code
+ Strong experience with Infrastructure-as-Code frameworks, particularly Terraform
+ Solid understandingand hands-on experience withopen table formats for data lakes(Apache Iceberg, Hudi,DeltaLake)and data modeling best practices
+ Experience with AWS Athena, Glue, or similar data query and cataloging services
+ Experience with Apache Airflow or similar workflow orchestration tools for batch and real-time pipeline management
+ Demonstrated ability to design and implement scalable ETL/ELT pipelines handling complex data transformations
+ Excellent communication skills and ability to collaborate effectively with technical and non-technical stakeholders
Good to have:
+ Experiencewithfeature engineering frameworks and feature stores (e.g., Feast,Tecton, or custom solutions)
+ Familiarity with Kubernetes for containerized data workloads and orchestration
+ Background in building data infrastructure for machine learning and AI applications
+ Experience with data quality frameworks and observability tools for data pipelines
**Why Proofpoint?**
At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons you'll love working with us:
+ Competitive compensation
+ Comprehensive benefits
+ Career success on your terms
+ Flexible work environment
+ Annual wellness and community outreach days
+ Always on recognition for your contributions
+ Global collaboration and networking opportunities
**Our Culture:**
Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone.
We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to .
**How to Apply**
Interested? Submit your application along with any supporting information- we can't wait to hear from you!
Proofpoint has been honored with six Best Places to Work Awards in 2024 by workplace culture leader Comparably, including Best Company Career Growth, Best Company Outlook, Best Global Culture, Best Engineering Teams, Best Sales Teams, and Best HR Teams.
We are the leader in human-centric cybersecurity. Half a million customers, including 87 of the Fortune 100, rely on Proofpoint to protect their organizations. We're driven by a mission to stay ahead of bad actors and safeguard the digital world. Join us in our pursuit to defend data and protect people.
Our BRAVE Values:
At Proofpoint, we are BRAVE in everything we do, and our values aren't just words-they shape how we work, collaborate, and grow.
We seek people who are bold enough to challenge the status quo, responsive in the face of ever-evolving threats, and accountable for delivering real impact.
We value those with a visionary mindset who anticipate what's next and push cybersecurity forward, and we celebrate exceptional execution that ensures we continue to defend data and protect people.
Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
Find your network, your allies, and your biggest fans. We know that work is simply better when you're surrounded by people who inspire you-who share ideas, cheer you on, and genuinely want to see you succeed. That's why we offer social circles, sponsored networks, and connection points across teams and time zones-to help you find your people, build your community, and thrive together.
This isn't just a job-it's a mission to protect people and defend data in a world that never slows down. We're building the future of human-centric cybersecurity, and that future belongs to all of us. We take ownership, move fast, and hold ourselves accountable-because that's what it takes to stay ahead. And we do it together, winning as one.
Be empowered to reach your full potential through meaningful challenges and personalized support-designed around you and your goals. Whether you're growing as a leader or leveling up from great to exceptional as an individual contributor, we're here to help you get there.
Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
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Senior Engineer - Data Platforms & Artificial Intelligence
Publicado hace 9 días
Trabajo visto
Descripción Del Trabajo
Partners with customers, sales, engineering and product teams to design, demonstrate and deploy Oracle Cloud architectures that address customer business problems. Drives Oracle Cloud customer consumption by accelerating the adoption of Oracle cloud services including discovery, design and deployment.
**Responsibilities**
* Experiencia en plataformas de datos: Databricks, Snowflake, BigQuery, Spark.
* Experiencia en arquitecturas y servicios Cloud (OCI, AWS, Azure o GCP).
* Conocimiento en procesamiento y explotación de datos a gran escala.
* Experiencia aplicando IA, Machine Learning y LLMs sobre plataformas de datos.
* Manejo de pipelines ETL/ELT y soluciones analíticas modernas.
* Experiencia en RAG, vector databases y fine-tuning de modelos.
Career Level - IC4
**About Us**
Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.
True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
¿Este trabajo es un acierto o un fracaso?
Descripción Del Trabajo
Job Description
**GBS Chevron Global Business Services (GBS), located in Buenos Aires (Puerto Madero), Argentina, is accepting applications for the position of Data Engineer. Successful candidates will join the IT Organization, which is part of a multifunction service and technical center with a workforce of more than 1800 employees that deliver business services and solutions to the corporation across the globe.**
Utilizes software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in support of data architecture design.
Responsibilities include:
+ Understand business use of data and stakeholder requirements to support work processes and strategic business objectives
+ Leverage data, software engineering, and data science techniques to create business value through data accessibility. Includes data ingestion, data preparation and analytics processing.
+ Identify, acquire, cleanse & prepare, store data and develop data products aligned with defined architecture patterns
+ Responsible for normalizing and ingesting data from multiple sources.
+ Enable data scientists, making data available for advanced analytics models, and contributing to models.
+ Work with ML Engineer to scale and deploy solution including model, documentation, training, integration
+ Contributing to the inner source development of foundational tools, and/or the deployment of technical services.
Required Qualifications:
+ BS in Computer Science, Management Information Systems, Computer Engineer or related fields or equivalent experience.
+ +5 years in Data Engineer Role
+ Knowledge and/or experience with: data acquisition, preparation and validation; data movement and transformation; analytics solution architecture; big data computing; cloud computing, core data architecture; information security technologies and software engineering using technologies such as: Azure Data Factory (ETL), Databricks, DevOps, CI/CD Pipeline Deployment, Python, Java, Ansible, Azure SQL, Azure Synapse, GIT, ADO, Azure Data Lake, Azure Analysis Services, Logic Apps, Microsoft Data Flows, Kimball Data Warehousing Methodology
+ Analytical thinking, Consulting, Critical Thinking
**Relocation Options:**
Relocation **may be** considered.
**International Considerations:**
Expatriate assignments **will not be** considered
**Chevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this position**
Chevron participates in E-Verify in certain locations as required by law.
Chevron Corporation is one of the world's leading integrated energy companies. Through its subsidiaries that conduct business worldwide, the company is involved in virtually every facet of the energy industry. Chevron explores for, produces and transports crude oil and natural gas; refines, markets and distributes transportation fuels and lubricants; manufactures and sells petrochemicals and additives; generates power; and develops and deploys technologies that enhance business value in every aspect of the company's operations. Chevron is based in Houston, Texas. More information about Chevron is available at .
Chevron is an Equal Opportunity / Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status, or other status protected by law or regulation.
¿Este trabajo es un acierto o un fracaso?
Descripción Del Trabajo
Proofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple: safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people.
**How We Work:**
At Proofpoint you'll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values:
**Bold** in how we dream and innovate
**Responsive** to feedback, challenges and opportunities
**Accountable** for results and best in class outcomes
**Visionary** in future focused problem-solving
**Exceptional** in execution and impact
Corporate Overview
Proofpoint is a leading cybersecurity company protecting organisations' greatest assets and biggest risks: vulnerabilities in people. With an integrated suite of cloud-based solutions, Proofpoint helps companies around the world stop targeted threats, safeguard their data, and make their users more resilient against cyber-attacks. Leading organisations of all sizes, including more than half of the Fortune 1000, rely on Proofpoint for people-centric security and compliance solutions mitigating their most critical risks across email, the cloud, social media, and the web.
We are singularly devoted to helping our customers protect their greatest assets and biggest security risk: their people. That is why we are leaders in next-generation cybersecurity.
**The** **Role**
Proofpoint is looking for a Senior Data Scientist to join our Machine Learning team. In this role, you'll drive the evolution of our email threat detection engine, which protects some of the largest enterprises globally, from sophisticated email-based threats.
You will collaborate cross-functionally and lead major initiatives end-to-end ensuring that we apply state-of-the-art machine learning techniques to identify and solve the most impactful problems. You will also help promote machine learning best practices and encourage innovative approaches to problem-solving within the team.
**Key Responsibilities**
+ Extract and derive actionable insights from massive volumes of unstructured email datasets using distributed computing tools (Spark, Iceberg, Athena) and AWS SageMaker
+ Engineer features that capture communication behaviors and patterns across billions of email records, translating domainexpertiseinto scalable feature pipelines
+ Fine-tune LLMs for domain-specific tasks (email topic detection, NER) and train neural network models from scratch on massive volumes of email data toidentifyanomalous patternsand behaviorsindicative of malicious threats
+ Apply classical machine learning techniques (e.g., boosting, bagging) to train models that classify large volumes of imbalanced datasets with low-latency inference
+ Deploy trained models to production using AWS SageMaker, directlyimpactingthe effectiveness of our core threat detection products
+ Partner with Product and Engineering teams toidentifyhigh-impact research areas and drive data-driven decision-making
+ Mentor junior data scientists and drive adoption of ML best practices, fostering a culture of experimentation and continuous learning
+ Evaluate emerging machine learning and AI advancements, and integrate promising techniques into our threat detection solutions
**What We're Looking For**
+ Experienceleading high-impact machine learning projects withdemonstratedresults in production environments
+ Deepexpertisein neural network architectures with proven experience applying them to real-world problems. Experience with graph neural networks or advanced fraud detection techniques is highly desirable
+ Proficiencywith one or more deep learning frameworks (PyTorch, TensorFlow, JAX). Experience withPyTorchGeometric or DGL is a plus
+ Hands-onexpertisewith gradient boosting frameworks (XGBoost,CatBoost,LightGBM) for imbalanced classification tasks
+ Experience monitoring andmaintainingmodel performance in production, including detection and mitigation of model and data drift
+ Experience leveraging LLMs and agentic workflows for research and problem-solving is a plus
+ A collaborative mindset with genuine passion for high-impact work and a commitment to fostering innovative thinking within the team
+ Strong listening skills; open to input from other team members and departments
Why Proofpoint
Protecting people is at the heart of our award-winning cybersecurity solutions, and the people who work here are the key to our success. We're a customer-focused and driven-to-win organisation with leading-edge products. We are an inclusive, diverse, multinational company that believes in culture fit, but more importantly 'culture-add', and we strongly encourage people from all walks of life to apply.
We believe in hiring the best and the brightest to help cultivate our culture of collaboration and appreciation. Apply today and explore your future at Proofpoint! #LifeAtProofpoint
**Why Proofpoint?**
At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons you'll love working with us:
+ Competitive compensation
+ Comprehensive benefits
+ Career success on your terms
+ Flexible work environment
+ Annual wellness and community outreach days
+ Always on recognition for your contributions
+ Global collaboration and networking opportunities
**Our Culture:**
Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone.
We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to .
**How to Apply**
Interested? Submit your application along with any supporting information- we can't wait to hear from you!
Proofpoint has been honored with six Best Places to Work Awards in 2024 by workplace culture leader Comparably, including Best Company Career Growth, Best Company Outlook, Best Global Culture, Best Engineering Teams, Best Sales Teams, and Best HR Teams.
We are the leader in human-centric cybersecurity. Half a million customers, including 87 of the Fortune 100, rely on Proofpoint to protect their organizations. We're driven by a mission to stay ahead of bad actors and safeguard the digital world. Join us in our pursuit to defend data and protect people.
Our BRAVE Values:
At Proofpoint, we are BRAVE in everything we do, and our values aren't just words-they shape how we work, collaborate, and grow.
We seek people who are bold enough to challenge the status quo, responsive in the face of ever-evolving threats, and accountable for delivering real impact.
We value those with a visionary mindset who anticipate what's next and push cybersecurity forward, and we celebrate exceptional execution that ensures we continue to defend data and protect people.
Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
Find your network, your allies, and your biggest fans. We know that work is simply better when you're surrounded by people who inspire you-who share ideas, cheer you on, and genuinely want to see you succeed. That's why we offer social circles, sponsored networks, and connection points across teams and time zones-to help you find your people, build your community, and thrive together.
This isn't just a job-it's a mission to protect people and defend data in a world that never slows down. We're building the future of human-centric cybersecurity, and that future belongs to all of us. We take ownership, move fast, and hold ourselves accountable-because that's what it takes to stay ahead. And we do it together, winning as one.
Be empowered to reach your full potential through meaningful challenges and personalized support-designed around you and your goals. Whether you're growing as a leader or leveling up from great to exceptional as an individual contributor, we're here to help you get there.
Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
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Descripción Del Trabajo
_corporate_fare_ Google _place_ Buenos Aires, Argentina
**Early**
Experience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes.
_info_outline_
X
**Please submit your resume in English - we can only consider applications submitted in this language.**
**Minimum qualifications:**
+ Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
+ Experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP).
+ Experience coding with one or more programming languages (e.g., Java, C/C++, Python).
+ Experience troubleshooting technical issues for internal/external partners or customers.
+ Ability to communicate in English and Spanish fluently to engage with clients in the region.
**Preferred qualifications:**
+ Experience in working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools, environments, and data structures.
+ Experience in Big Data, information retrieval, data mining, or Machine Learning.
+ Experience in building multi-tier, high availability applications with modern technologies such as NoSQL, MongoDB and SparkML.
+ Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments.
+ Experience with IaC and CICD tools like Terraform, Ansible, Jenkins etc.
**About the job**
The Google Cloud Platform team helps customers transform and build what's next for their business - all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers - developers, small and large businesses, educational institutions and government agencies - see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
**Responsibilities**
+ Engage stakeholders to translate customer requirements into recommendations for appropriate solution architectures and advisory services, partnering with technical leads to drive high-velocity migration and modernisation to Google Cloud Platform (GCP).
+ Design, Migrate and Operationalise data storage and processing infrastructure using Cloud native products.
+ Architect and implement data migration strategies across various database types, including PostgreSQL, Oracle and Alloy DB.
+ Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data.
+ Establish communication strategies, risk and issue management, status reports, project matrix, and track timelines.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
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Descripción Del Trabajo
+ Independently manage end-to-end delivery of data management services for single/multi-service projects, ensuring quality deliverables on time and within budget, to customer satisfaction. Provide comprehensive data management expertise to Clinical Data Management (CDM) team to provide high quality data management products that meet customer needs. Provide leadership and vision to the team in the areas of project planning, execution, and close-out; financial management; communications; and milestone deliverables. May perform role of Data Team Lead (DTL), Program Lead, Customer Site Manager, and/or a leadership role in a specific CDM task (e.g., Subject Matter Expert (SME). Comply with Good Clinical Practices (GCPs), applicable regulatory guidelines, SOPs, policies, and, where available, CDM guidance documents.
**Essential Functions**
Client Management:
+ Serve as primary point of contact for customer on data management deliverables.
+ Manage multiple large studies or program of studies (possibly global) Provide leadership and senior support to DTLs on multiple large global studies/programs of global studies Provide leadership and senior support to DTLs on multiple large global studies/programs of global studies.
+ Provide project management expertise working with customer data managers, key decision makers, and internal team members to manage continuous process improvements, issue escalation, workload projections, and provide technical expertise.
+ Lead direct negotiations with customer, e.g., timelines, financial, process, resources.
+ Maintain strong customer relationships.
+ Ensure open communications with customer and IQVIA management to independently manage and meet contractual obligations.
Service Management:
+ Meet with Data Operations Coordinator (DOC) and/or Data Operations team members on a regular basis to ensure milestones meet timelines and quality deliverables.
+ Provide training and development on data management expertise to junior team members.
+ Establish strong communications with Data Operations team, functional leads, project managers and all other stake holders.
+ Independently manage DM service delivery with comprehensive DM process and technical expertise in executing projects
+ Serve as the escalation point for unresolved data issues.
+ Independently work with client data managers, vendors, internal team members for resolution
+ Ensure appropriate resources are assigned to meet project deliverables.
+ Create and/or review and sign-off on all data management plan (DMP) documents.
+ Ensure service and quality meet agreed upon specifications per the DMP and contract/SOW.
+ Implement proactive quality management plans across multiple projects/programs/customer account. Manage service performance and provide leadership to identify root causes of issues and implement remedial actions.
+ Continuously look for opportunities to improve service.
+ Develop and work with team to implement plan to re-organize and drive change (possibly across a customer account)
+ Ensure timely follow-up and resolution of compliance issues.
+ Serve as Subject Matter Expert (SME)
+ Provide leadership and expertise in a specific CDM task or technology.
+ Serve as customer site lead for one or more customers.
+ Train and mentor junior DTL staff in DM expertise
+ May coordinate the work of more junior DTL staff.
+ Independently maintain internal tracking databases and systems
Financial Management/Business Development Support:
+ Independently manage SOW/budget
+ Review financial reports monthly and participate in project reviews as requested.
+ Identify out of scope tasks and track change orders to completion.
+ Participate in pricing discussions across customer account.
+ Serve as Project Manager for single service DM projects, including financial tracking, revenue recognition, and invoicing.
+ Independently support RFP process (review RFP documents, pricing, attend bid defense)
Other:
+ Independently bring process improvements and solutions to the CDM team/CDM department
+ Lead a focus team or global or local best practice team.
+ Communicate lessons learned and/or present in CDM workshop(s)
+ Manage the development and implementation of new technology or tool.
+ Present at professional conferences and/or publish articles in professional journals.
+ Provide review and expert opinion in developing, revising, and maintaining core operating procedures and work instructions.
+ Perform other duties as directed by the functional manager.
**Qualifications**
Please note that requirements for this position do not align with an Analyst, Architect Data Entry, Design, Engineering, IT, or Research role. Applicants that do not meet the requirements for the position will not be considered.
+ Bachelor's Degree Health, clinical, biological, or mathematical sciences, or related field Req
+ 7 years direct Data Management experience, including 5 or more years as a CDM project lead. Equivalent combination of education, training, and experience.
+ Previous experience and proven competence in managing delivery of multiple global trials through full DM life cycle (i.e., large trials of at least 1000 patients).
+ Demonstrated expert data management skills and advanced knowledge of the data management process (e.g., therapeutic area, extensive knowledge in DM processes, SAE reconciliation, external data vendor reconciliation, management of local laboratory data, and/or new technology).
+ Previous experience and proven competence in handling complex customer negotiations and bid defense meetings independently. Knowledge of Medical Terminology, Pharmacology, Anatomy, and/or Physiology.
+ Knowledge of operating procedures and work instructions and the ability to apply them in practice.
+ Knowledge of Good Clinical Practices and relevant regulatory guidelines.
+ Comprehensive understanding of clinical drug development process.
+ Ability to establish and maintain effective working relationships with coworkers, managers, and customers.
+ Knowledge of Medical Terminology, Pharmacology, Anatomy, and/or Physiology.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide.
To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.
EEO Minorities/Females/Protected Veterans/Disabled
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Practice Customer Engineer, Data and Analytics, Google Cloud
Publicado hace 9 días
Trabajo visto
Descripción Del Trabajo
_corporate_fare_ Google _place_ Buenos Aires, Argentina; Santiago, Chile; +3 more; +2 more
**Advanced**
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
_info_outline_
XPlease submit your resume in English - we can only consider applications submitted in this language.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Buenos Aires, Argentina; Santiago, Chile; Bogotá, Bogota, Colombia; Lima, Peru** .
**Minimum qualifications:**
+ Bachelor's degree in a technical field or equivalent practical experience.
+ 10 years of experience with data analytics solutions.
+ Experience in data analysis languages (e.g., SQL) and data modeling.
+ Experience in demos, prototypes, or workshops with customers.
+ Experience engaging with, or presenting to, technical stakeholders or executive leaders.
**Preferred qualifications:**
+ Master's degree in Computer Science, Engineering, Mathematics, or a technical field.
+ Experience working with Large Language Models (LLM) and designing agentic workflows and multi-agent architectures.
+ Experience in managing and delivering successful proof-of-concepts, focused on the customer value provided by the solution and meeting customer needs.
+ Expertise with advanced data modeling and analytics.
+ Excellent leadership and public speaking skills, including experience in creation of blogs and sales field enablement.
**About the job**
As a Practice Customer Engineer in Data Analytics dedicated to one of our most strategic accounts, you will partner with technical business teams as a data analytics and intelligent systems subject matter expert to differentiate and defend Google Cloud's footprint. In this highly focused role, you will take the ownership, proactively manage the customer's technical journey, actively safeguard, optimize, and secure existing workloads to establish Google Cloud as their foundation against competitive alternatives.
You will help this key customer understand the power of Google Cloud, develop creative cloud architectures that seamlessly bridge large-scale data analytics with intelligent, predictive capabilities, and engage in the proofs-of-concept. Leveraging your technical acumen, you will troubleshoot roadblocks across the entire modern data life-cycle (migration, governance, and robust back-ends) to ensure the integration of machine learning-ready data infrastructure. You will use your experience, proactive mindset, and soft skills to understand their requirements, protect our joint ecosystem, and steer their analytics strategy. You will have excellent technical, communication, and organizational skills. You will be part of a team of fellow Googlers who grow in ambiguity, embrace complex technical challenges, and share a deep passion for the business, working in an environment of respect where we promote equal opportunities to succeed.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
**Responsibilities**
+ Serve as the Data Analytics subject matter expert alongside Sales teams to differentiate Google Cloud and recommend the trusted data experiences that drive innovation.
+ Design and deliver tailored presentations, demonstrations, and technical prototypes that clearly articulate specific use cases and business value to customers.
+ Lead technical proof-of-concepts and manage Request for Proposal (RFP) responses, ensuring deep prospect engagement through the effective application of complex technical knowledge.
+ Promote Google Cloud's data analytics value through workshops and demonstrations, effectively communicating architectural concepts to audiences ranging from developers to IT leadership.
+ Drive product adoption and productivity via multiple channels, including readiness to travel for on-site customer visits, industry conferences, and workshops.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
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Senior Software Engineer (Power Platform & Automation)
Publicado hace 9 días
Trabajo visto
Descripción Del Trabajo
The Senior Software Engineer (Power Platform & Automation) role involves designing, developing, and supporting low-code, automation, integration, and data solutions using Microsoft Power Platform, Azure services, and associated Microsoft technologies. The role requires close collaboration with business stakeholders to identify opportunities, evaluate technology options, modernize existing processes and applications, and deliver scalable, secure, and efficient solutions that generate business value.
**Responsibilities**
+ Develop and maintain applications using Power Apps (Canvas & Model-driven).
+ Automate workflows, business processes, and integrations using Power Automate, Azure services, and SharePoint.
+ Design, build, and maintain Power Platform solutions (Power BI, Power Apps, Dataverse).
+ Design and maintain Dataverse data models, relational structures, security roles, and governance standards.
+ Design, develop, maintain, and support solutions and integrations using C#/.NET technologies when required.
+ Develop and optimize SQL/DAX queries for data analysis, reporting, and application support.
+ Design, develop, and maintain integrations using REST APIs, custom connectors, Azure services, and enterprise applications.
+ Administer and support SharePoint Online sites, libraries, lists, permissions, and related Power Platform integrations.
+ Implement and maintain Power Platform governance standards, environment strategies, security models, and deployment best practices.
+ Participate in ALM, deployment automation, release management, and CI/CD processes using Azure DevOps.
+ Apply Power Automate Desktop and automation technologies to improve operational efficiency.
+ Support data integration, transformation, and standardization across SAP, SharePoint, SQL Server, Azure Data Lake, and Azure Synapse.
+ Analyze and modernize legacy applications and business processes.
+ Provide technical support, documentation, knowledge transfer, and user training.
**Required Qualifications**
+ Power Apps (Canvas & Model-driven).
+ Power Automate (Cloud Flows).
+ Dataverse including data modeling and role-based security.
+ Power BI reporting and analytics.
+ SharePoint Online (Lists, Libraries, Permissions, Site Administration and Integration).
+ C#/.NET application development and support.
+ SQL development, queries, views and stored procedures.
+ REST API integration and Power Platform Custom Connector development.
+ Azure DevOps, Git repositories and CI/CD pipelines.
+ Enterprise application integration using Microsoft technologies.
+ Experience integrating with SAP, SharePoint, SQL Server and Azure services.
+ Application modernization and legacy solution replacement experience.
**Preferred Qualifications**
+ Power Automate Desktop and RPA.
+ Azure Synapse Analytics.
+ Azure Data Factory.
+ Azure Data Lake.
+ Power Platform governance and security standards.
+ Dataverse security model implementation.
+ PowerShell scripting and automation.
+ Agile (Scrum/Kanban).
+ SharePoint migrations and modernization initiatives.
+ Information Risk Management (IRM) familiarity.
+ Testing methodologies and solution validation practices.
+ Leadership and cross-functional project experience.
**Relocation Options:**
Relocation **could be** considered.
**International Considerations:**
Expatriate assignments **will not be** considered.
Chevron participates in E-Verify in certain locations as required by law.
Chevron Corporation is one of the world's leading integrated energy companies. Through its subsidiaries that conduct business worldwide, the company is involved in virtually every facet of the energy industry. Chevron explores for, produces and transports crude oil and natural gas; refines, markets and distributes transportation fuels and lubricants; manufactures and sells petrochemicals and additives; generates power; and develops and deploys technologies that enhance business value in every aspect of the company's operations. Chevron is based in Houston, Texas. More information about Chevron is available at .
Chevron is an Equal Opportunity / Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status, or other status protected by law or regulation.
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Descripción Del Trabajo
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
**Job Title**
Sr Data Analyst
En Fiserv, un Sr Data Analyst aporta claridad a decisiones críticas del negocio a través del análisis riguroso de datos y la entrega de insights accionables que facilitan el movimiento seguro y eficiente del dinero y la información.
Buscamos a alguien con SQL sólido, autonomía y criterio, que disfrute de los desafíos. El foco principal es dar soporte analítico al negocio de adquirencia y evolucionar la reportería financiera. Es una posición ideal para una persona curiosa, con ojo crítico, que cuida la calidad de lo que entrega y que quiere sumarse a una mesa de trabajo creativa, dinámica y desafiante.
_Esta posición tiene una modalidad 4x1 (4 días presencial) en nuestras oficinas de Retiro._
**Lo que harás:**
+ Escribir y optimizar queries en SQL para extraer, relacionar y transformar grandes volúmenes de datos.
+ Resolver problemas analíticos complejos y poco estructurados, explorando datos y fuentes nuevas hasta llegar a la mejor solución.
+ Automatizar procesos y eliminar tareas manuales, buscando siempre la forma más eficiente de trabajar.
+ Dar soporte a la toma de decisiones del negocio y de finanzas con análisis accionables.
+ Realizar análisis ad-hoc para responder preguntas concretas de negocio.
+ Diseñar, construir y mantener dashboards y visualizaciones en Power BI, y evolucionar la reportería recurrente.
+ Asegurar la calidad e integridad de los datos y de cada entregable.
+ Comunicar hallazgos y recomendaciones a audiencias no técnicas, incluyendo stakeholders senior.
**Lo que necesitas (excluyente):**
+ Graduado de carreras de Ingeniería, Ciencias Económicas, Sistemas o carreras afines.
+ **3 a 5 años de experiencia** en roles de análisis de datos / Business Intelligence.
+ **SQL avanzado.**
+ **Excel avanzado.**
+ **Power BI** : experiencia desarrollando dashboards y reportes.
+ **Inglés avanzado**
+ **Autonomía, ownership y criterio** : capacidad de llevar un problema de punta a punta con mínima supervisión.
+ **Foco en la calidad del entregable** y atención al detalle.
**Nuestra cultura:** Nuestra aspiración es mover dinero e información de una manera que mueva al mundo. Nuestro objetivo es brindar un valor superior a nuestros clientes a través de tecnología de punta, innovación dirigida y excelencia en todo lo que hacemos.
**Nuestros valores:** Nuestros valores guían la manera en que tomamos decisiones y cumplimos nuestros compromisos con nuestros clientes y entre nosotros. Articulan lo que nos preocupa: lo que creemos que es importante. Nos orientan en la toma de decisiones día a día. Anclan una cultura en la que queremos trabajar.
+ Gánate la confianza del cliente todos los días;
+ Crea con propósito;
+ Inspirar y alcanzar la excelencia;
+ Hacer lo correcto;
+ Cumpla con la promesa de un solo Fiserv;
Nuestra cultura, enraizada en nuestro orgullo colectivo y reconocimiento por los logros de cada uno, es visible todos los días a través de nuestras publicaciones colectivas #FISVProud en las redes sociales.
**Nuestros beneficios** :
+ Reintegro por almuerzo
+ Plan Medico de Salud de primer nivel
+ Seguro de Vida
+ Reintegro de Gastos por Guardería
+ Kit Escolar
+ Día libre por cumpleaños;
+ Capacitación Constante
+ Programa interno de reconocimiento
+ Programa de Bienestar y Asistencia al Empleado
+ WellHub (Gympass)
\#LI-JL1
Thank you for considering employment with Fiserv. Please:
+ Apply using your legal name
+ Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
**Our commitment to Diversity and Inclusion:**
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
**Note to agencies:**
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
**Warning about fake job posts:**
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.
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