206 Ofertas de Hadoop en Argentina

Trainee Data Processing Specialist - Buenos Aires - BUE00ML

Construyendo sobre nuestro pasado. Listos para el futuro

Worley es una firma global de servicios profesionales compuesta por expertos en energía, productos químicos y recursos. Nos asociamos con clientes para entregar proyectos y crear valor durante la vida útil de sus activos. Estamos uniendo dos mundos, avanzando hacia fuentes de energía más sostenibles y al mismo tiempo ayudamos a proporcionar la energía, los productos químicos y los recursos que se necesitan ahora.

Principales Responsabilidades:

Brindar soporte en tareas de seguimiento operativo de procesos y proyectos internos dentro del proyecto.

Participar en reuniones multilingües, tomando notas precisas y organizando acuerdos o acciones pendientes.

Actualizar y mantener bases de datos internas con información relevante para el área.

Colaborar en la generación de reportes utilizando herramientas como Power BI.

Apoyar en la documentación de procedimientos, controles y/o manuales de trabajo.

Coordinar tareas administrativas asociadas al soporte operativo del equipo.

Software, procesos y herramientas:

Estudiante universitario/a en Ingeniería Industrial, Civil, Sistemas, o carreras afines. (interesado o primeros años)

Inglés fluido oral y escrito (requisito excluyente). Otros idiomas serán valorados.

Manejo intermedio de paquete de Microsoft Office

Experiencia académica o práctica en el uso de Power BI u otras herramientas de visualización de datos.

Capacidad para trabajar de manera colaborativa en equipos multiculturales y multilingües.

Habilidades de organización, atención al detalle y orientación a resultados.

Competencias Valoradas:

• Curiosidad y ganas de aprender
• Comunicación efectiva y escucha activa
• Pensamiento analítico
• Proactividad y autonomía
• Adaptabilidad al cambio, resiliencia
• Confidencialidad y ética profesional

Asignación:

• Hibrido
• Lugar de trabajo: Puerto Madero, Buenos Aires

En caso de que necesites algún ajuste de accesibilidad por favor no dejes de aclararlo en tu postulación

Avanzando juntos

Estamos comprometidos a construir un lugar de trabajo diverso, inclusivo y respetuoso donde todos sientan que pertenecen, puedan hablar y ser escuchados. Brindamos igualdad de oportunidades de empleo a todos los solicitantes y empleados calificados sin importar edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, estado de discapacidad, estado de veterano, orientación sexual, identidad o expresión de género, información genética, estado civil. estatus, estatus de ciudadanía o cualquier otra base protegida por la ley.

Queremos que nuestra gente esté llena de energía y poder para impulsar un impacto sostenible. Por eso, nos centramos en una cultura inspirada en valores que genere brillantez a través de la pertenencia, la conexión y la innovación.

Estamos construyendo un lugar de trabajo diverso, inclusivo y respetuoso. Crear un espacio donde todos sientan que pertenecen, puedan ser ellos mismos y ser escuchados.

Y no estamos hablando sólo de eso; lo estamos haciendo. Estamos recapacitando a nuestra gente, aprovechando habilidades transferibles y apoyando la transición de nuestra fuerza laboral para convertirse en expertos en la infraestructura y tecnología de energía baja en carbono de hoy.

Cualquiera que sea tu ambición, aquí hay un camino para ti. Y no existe ninguna barrera para el posible éxito profesional. Únase a nosotros para ampliar sus horizontes, explorar diversas oportunidades y ser parte del logro de un cambio sostenible.

Trainee Data Processing Specialist - Buenos Aires - BUE00ML

Primary Location : ARG-BA-Buenos Aires

Construyendo sobre nuestro pasado. Listos para el futuro

Worley es una firma global de servicios profesionales compuesta por expertos en energía, productos químicos y recursos. Nos asociamos con clientes para entregar proyectos y crear valor durante la vida útil de sus activos. Estamos uniendo dos mundos, avanzando hacia fuentes de energía más sostenibles y al mismo tiempo ayudamos a proporcionar la energía, los productos químicos y los recursos que se necesitan ahora.

Principales Responsabilidades:

Brindar soporte en tareas de seguimiento operativo de procesos y proyectos internos dentro del proyecto.

Participar en reuniones multilingües, tomando notas precisas y organizando acuerdos o acciones pendientes.

Actualizar y mantener bases de datos internas con información relevante para el área.

Colaborar en la generación de reportes utilizando herramientas como Power BI.

Apoyar en la documentación de procedimientos, controles y/o manuales de trabajo.

Coordinar tareas administrativas asociadas al soporte operativo del equipo.

Software, procesos y herramientas:

Estudiante universitario/a en Ingeniería Industrial, Civil, Sistemas, o carreras afines. (interesado o primeros años)

Inglés fluido oral y escrito (requisito excluyente). Otros idiomas serán valorados.

Manejo intermedio de paquete de Microsoft Office

Experiencia académica o práctica en el uso de Power BI u otras herramientas de visualización de datos.

Capacidad para trabajar de manera colaborativa en equipos multiculturales y multilingües.

Habilidades de organización, atención al detalle y orientación a resultados.

Competencias Valoradas:

• Curiosidad y ganas de aprender
• Comunicación efectiva y escucha activa
• Pensamiento analítico
• Proactividad y autonomía
• Adaptabilidad al cambio, resiliencia
• Confidencialidad y ética profesional

Asignación:

• Hibrido
• Lugar de trabajo: Puerto Madero, Buenos Aires

En caso de que necesites algún ajuste de accesibilidad por favor no dejes de aclararlo en tu postulación

Avanzando juntos

Estamos comprometidos a construir un lugar de trabajo diverso, inclusivo y respetuoso donde todos sientan que pertenecen, puedan hablar y ser escuchados. Brindamos igualdad de oportunidades de empleo a todos los solicitantes y empleados calificados sin importar edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, estado de discapacidad, estado de veterano, orientación sexual, identidad o expresión de género, información genética, estado civil. estatus, estatus de ciudadanía o cualquier otra base protegida por la ley.

Queremos que nuestra gente esté llena de energía y poder para impulsar un impacto sostenible. Por eso, nos centramos en una cultura inspirada en valores que genere brillantez a través de la pertenencia, la conexión y la innovación.

Estamos construyendo un lugar de trabajo diverso, inclusivo y respetuoso. Crear un espacio donde todos sientan que pertenecen, puedan ser ellos mismos y ser escuchados.

Y no estamos hablando sólo de eso; lo estamos haciendo. Estamos recapacitando a nuestra gente, aprovechando habilidades transferibles y apoyando la transición de nuestra fuerza laboral para convertirse en expertos en la infraestructura y tecnología de energía baja en carbono de hoy.

Cualquiera que sea tu ambición, aquí hay un camino para ti. Y no existe ninguna barrera para el posible éxito profesional. Únase a nosotros para ampliar sus horizontes, explorar diversas oportunidades y ser parte del logro de un cambio sostenible.

Trainee Data Processing Specialist - Buenos Aires - BUE00ML

Primary Location : ARG-BA-Buenos Aires

Construyendo sobre nuestro pasado. Listos para el futuro

Worley es una firma global de servicios profesionales compuesta por expertos en energía, productos químicos y recursos. Nos asociamos con clientes para entregar proyectos y crear valor durante la vida útil de sus activos. Estamos uniendo dos mundos, avanzando hacia fuentes de energía más sostenibles y al mismo tiempo ayudamos a proporcionar la energía, los productos químicos y los recursos que se necesitan ahora.

Principales Responsabilidades:

Brindar soporte en tareas de seguimiento operativo de procesos y proyectos internos dentro del proyecto.

Participar en reuniones multilingües, tomando notas precisas y organizando acuerdos o acciones pendientes.

Actualizar y mantener bases de datos internas con información relevante para el área.

Colaborar en la generación de reportes utilizando herramientas como Power BI.

Apoyar en la documentación de procedimientos, controles y/o manuales de trabajo.

Coordinar tareas administrativas asociadas al soporte operativo del equipo.

Software, procesos y herramientas:

Estudiante universitario/a en Ingeniería Industrial, Civil, Sistemas, o carreras afines. (interesado o primeros años)

Inglés fluido oral y escrito (requisito excluyente). Otros idiomas serán valorados.

Manejo intermedio de paquete de Microsoft Office

Experiencia académica o práctica en el uso de Power BI u otras herramientas de visualización de datos.

Capacidad para trabajar de manera colaborativa en equipos multiculturales y multilingües.

Habilidades de organización, atención al detalle y orientación a resultados.

Competencias Valoradas:

• Curiosidad y ganas de aprender
• Comunicación efectiva y escucha activa
• Pensamiento analítico
• Proactividad y autonomía
• Adaptabilidad al cambio, resiliencia
• Confidencialidad y ética profesional

Asignación:

• Hibrido
• Lugar de trabajo: Puerto Madero, Buenos Aires

En caso de que necesites algún ajuste de accesibilidad por favor no dejes de aclararlo en tu postulación

Avanzando juntos

Estamos comprometidos a construir un lugar de trabajo diverso, inclusivo y respetuoso donde todos sientan que pertenecen, puedan hablar y ser escuchados. Brindamos igualdad de oportunidades de empleo a todos los solicitantes y empleados calificados sin importar edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, estado de discapacidad, estado de veterano, orientación sexual, identidad o expresión de género, información genética, estado civil. estatus, estatus de ciudadanía o cualquier otra base protegida por la ley.

Queremos que nuestra gente esté llena de energía y poder para impulsar un impacto sostenible. Por eso, nos centramos en una cultura inspirada en valores que genere brillantez a través de la pertenencia, la conexión y la innovación.

Estamos construyendo un lugar de trabajo diverso, inclusivo y respetuoso. Crear un espacio donde todos sientan que pertenecen, puedan ser ellos mismos y ser escuchados.

Y no estamos hablando sólo de eso; lo estamos haciendo. Estamos recapacitando a nuestra gente, aprovechando habilidades transferibles y apoyando la transición de nuestra fuerza laboral para convertirse en expertos en la infraestructura y tecnología de energía baja en carbono de hoy.

Cualquiera que sea tu ambición, aquí hay un camino para ti. Y no existe ninguna barrera para el posible éxito profesional. Únase a nosotros para ampliar sus horizontes, explorar diversas oportunidades y ser parte del logro de un cambio sostenible.

• Design, develop, optimize and maintain scalable and reliable big data solutions, including data pipelines, data warehouses, and data lakes.
• Collaborate with cross-functional teams including data product managers, data scientists, analysts, and software engineers to understand business data requirements and deliver efficient solutions.
• Architect and optimize data storage, processing, and retrieval mechanisms for large-scale datasets.
• Establish scalable, efficient, automated processes for data analyses, model development, validation, and implementation.
• Implement and maintain data governance and security best practices to ensure data integrity and compliance with regulatory standards.
• Write efficient and well-organized software to ship products in an iterative, continual-release environment.
• Report key insight trends, using statistical rigor to simplify and inform the larger team of noteworthy story lines that impact the business.
• Troubleshoot and resolve performance issues, bottlenecks, and data quality issues in the big data infrastructure.
• Guide and mentor junior engineers, fostering a culture of continuous learning and technical excellence.
• Communicate clearly and effectively to technical and non-technical audiences.
• Contribute to internal best practices, frameworks, and reusable components to enhance the efficiency of the data engineering team.
• Embody the values and passions that characterize Levi Strauss & Co., with empathy to engage with colleagues from multiple backgrounds.

• University or advanced degree in engineering, computer science, mathematics, or a related field.
• 10+ years' experience developing and deploying data pipelines both batch and streaming into production.
• Strong experience working with a variety of relational SQL and NoSQL databases.
• Extensive experience with the cloud-native data services of Google Cloud Platform (BigQuery, Vertex AI, Pub/Sub, Cloud Functions, etc.).
• Deep expertise in one of the popular data warehousing tools such as Snowflake, Big Query, RedShift, etc.
• Hands-on experience with dbt (Data Build Tool) for data transformation.
• Experience working with big data tools and frameworks such as Hadoop, Spark, Kafka, etc. Familiarity with Databricks is a plus.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Hands-on experience in the Data engineering Spectrum, e.g. developing metadata-based framework-based solutions for Ingestion, Processing, etc., building Data Lake/Lake House solutions.
• Strong knowledge of Apache Airflow for orchestration and workflow management.
• Working knowledge of Github/Git Toolkit.
• Experience with providing operational support to stakeholders.
• Expertise in standard software engineering methodology, e.g. unit testing, test automation, continuous integration, code reviews, design documentation.
• Experience working with CI/CD pipelines using Jenkins and Github Actions.
• Experience with data visualization using Tableau, PowerBI, Looker or similar tools is a plus.

• Flexible working hours (full-time).
• One "Flex Day" off per month.
• 10 business days of vacation.
• Swiss Medical health coverage.
• Permanent contract with salary reviews every four months (PESOS ARG).
• Access to Udemy and Platzi for professional training.
• Employee Assistance Program (financial, nutritional, psychological support, etc.).
• Fully covered English classes during working hours.
• Discounts on Club de Beneficios and Samsung products.
• Birthday day off.

Mobile Computing is joining Grid Dynamics (NASDAQ: GDYN), a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

Country of application*

Resume*

Social profile

First name*

Last name*

E-mail*

Phone

City of application*

Consent to the processing of personal data in future recruitment processes*

I hereby give my consent to the Grid Dynamics Group to process my personal data contained in the application documents for the purpose of using my application in future recruitment processes.

Grid Dynamics is an equal opportunity employer. We are committed to creating an inclusive environment for all employees during their employment and for all candidates during the application process. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. All employment is decided on the basis of qualifications, merit, and business need.

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Please follow up to email alerts if you would like to receive information related to press releases, investors relations, and regulatory filings.

• Design, develop, optimize and maintain scalable and reliable big data solutions, including data pipelines, data warehouses, and data lakes.
• Collaborate with cross-functional teams including data product managers, data scientists, analysts, and software engineers to understand business data requirements and deliver efficient solutions.
• Architect and optimize data storage, processing, and retrieval mechanisms for large-scale datasets.
• Establish scalable, efficient, automated processes for data analyses, model development, validation, and implementation.
• Implement and maintain data governance and security best practices to ensure data integrity and compliance with regulatory standards.
• Write efficient and well-organized software to ship products in an iterative, continual-release environment.
• Report key insight trends, using statistical rigor to simplify and inform the larger team of noteworthy story lines that impact the business.
• Troubleshoot and resolve performance issues, bottlenecks, and data quality issues in the big data infrastructure.
• Guide and mentor junior engineers, fostering a culture of continuous learning and technical excellence.
• Communicate clearly and effectively to technical and non-technical audiences.
• Contribute to internal best practices, frameworks, and reusable components to enhance the efficiency of the data engineering team.
• Embody the values and passions that characterize Levi Strauss & Co., with empathy to engage with colleagues from multiple backgrounds.

• University or advanced degree in engineering, computer science, mathematics, or a related field.
• 10+ years' experience developing and deploying data pipelines both batch and streaming into production.
• Strong experience working with a variety of relational SQL and NoSQL databases.
• Extensive experience with the cloud-native data services of Google Cloud Platform (BigQuery, Vertex AI, Pub/Sub, Cloud Functions, etc.).
• Deep expertise in one of the popular data warehousing tools such as Snowflake, Big Query, RedShift, etc.
• Hands-on experience with dbt (Data Build Tool) for data transformation.
• Experience working with big data tools and frameworks such as Hadoop, Spark, Kafka, etc. Familiarity with Databricks is a plus.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Hands-on experience in the Data engineering Spectrum, e.g. developing metadata-based framework-based solutions for Ingestion, Processing, etc., building Data Lake/Lake House solutions.
• Strong knowledge of Apache Airflow for orchestration and workflow management.
• Working knowledge of Github/Git Toolkit.
• Experience with providing operational support to stakeholders.
• Expertise in standard software engineering methodology, e.g. unit testing, test automation, continuous integration, code reviews, design documentation.
• Experience working with CI/CD pipelines using Jenkins and Github Actions.
• Experience with data visualization using Tableau, PowerBI, Looker or similar tools is a plus.

• Flexible working hours (full-time).
• One "Flex Day" off per month.
• 10 business days of vacation.
• Swiss Medical health coverage.
• Permanent contract with salary reviews every four months (PESOS ARG).
• Access to Udemy and Platzi for professional training.
• Employee Assistance Program (financial, nutritional, psychological support, etc.).
• Fully covered English classes during working hours.
• Discounts on Club de Beneficios and Samsung products.
• Birthday day off.

Mobile Computing is joining Grid Dynamics (NASDAQ: GDYN), a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

Country of application*

Resume*

Social profile

First name*

Last name*

E-mail*

Phone

City of application*

Consent to the processing of personal data in future recruitment processes*

I hereby give my consent to the Grid Dynamics Group to process my personal data contained in the application documents for the purpose of using my application in future recruitment processes.

Grid Dynamics is an equal opportunity employer. We are committed to creating an inclusive environment for all employees during their employment and for all candidates during the application process. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. All employment is decided on the basis of qualifications, merit, and business need.

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About us

At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.

The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.

We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more aboutour What and our Why and how we canwork together .

Our Global Business Center (GBC) in Buenos Aires was established in 2004 and our diverse and multinational workforce of more than 2500 colleagues have been powering ExxonMobil’s global businesses ever since. We are proud to be part of an inclusive, safe, and vibrant work environment.
The IT department is seeking new candidates to its dynamic team. The department provides support worldwide to the Organizations all along the value chain from exploration thru site development to production.

• As a FinOps Engineer specializing in cloud cost optimization you will be responsible for managing and reducing cloud expenses while ensuring efficient use of cloud resources. Your responsibilities will include designing, maintaining, and optimizing ETL/ELT processes to facilitate data driven decisions to maintain a cost effective cloud infrastructure.
• Our office is in Puerto Madero, Buenos Aires and you will interact with cloud engineers, developers, and users from all around the world.
• #LI-Onsite

• Monitor and analyze cloud usage and spending to identify cost-saving opportunities.
• Ensure that cloud infrastructure is optimized for both performance and cost.
• Identify unused or underused resources and recommend more efficient usage.
• Implement and maintain tools and processes to track cloud spending and usage.
• Work closely with development, finance, and procurement teams to develop budgets and purchase plans.
• Create clear and concise reports on cost optimization progress for management.
• Develop and govern cost optimization policies and best practices.
• Train team members on best practices for cost-efficient cloud usage.
• Stay updated on industry trends and continuously improve cost optimization strategies.

• Bachelor's degree in: Software Engineering, Systems Engineering, Computer Engineering, Computer Science, Electronic Engineering, Information Analysis or similar.
• Advanced English skills, verbal and written communication
• Experience with scripting/programming languages like PowerShell , Python , SQL, Azure Data Factory, or to automate cost management tasks.
• Commitment to Continuous Learning: demonstrate a proactive attitude towards continuous professional development and learning.
• Self-starter and self-motivated
• Interpersonal and Negotiation skills - ability to effectively interact with staff, peers, and management
• Planning and Coordination skills - ability to effectively multi-task and progress many work items in parallel
• Strong technical writing and communication skills (document and communicate design concepts and conduct trainings)

• Proficiency in AWS and/or Azure, including their cost management tools (e.g., AWS Cost Explorer, Azure Cost Management).
• Strong skills in data analysis and visualization tools and concepts (e.g., Excel, Power BI, Tableau) to interpret cloud usage and cost data.
• Knowledge of cloud cost-saving strategies such as savings plans, reserved instances, spot instances, and rightsizing resources.
• Understanding of cloud architecture principles to design cost-efficient solutions.

An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.

We offer you:

• Competitive health coverage
• 3-week vacation up to 5 years of service plus 1 personal day
• Online training tools
• Gym discounts and activities for sport and general well-being
• A solid ergonomic program
• Medical assistance available in the offices
• Equipped maternity rooms
• Among others

More information on our Company’s benefits can be found here .

Please note benefits may be changed from time to time without notice, subject to applicable law.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.

Alternate Location:

Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.

Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

Job Segment: Sustainability, Cloud, Technical Writer, Software Engineer, Computer Science, Energy, Technology, Engineering

We're hiring a highly motivated Data Engineer with expertise in Python, AWS Glue/pyspark, AWS Lambda, Kafka, and relational databases (specifically Postgres). You'll be responsible for designing, developing, and maintaining data processing and management solutions, ensuring data integrity and availability through collaboration with multidisciplinary teams.

Responsibilities:

• Design and develop efficient data pipelines using Python, AWS Glue/pyspark, AWS Lambda, Kafka, and related technologies.
• Implement and optimize ETL processes for data extraction, transformation, and loading into relational databases, especially Postgres.
• Collaborate on data warehouse architectures, ensuring proper data modeling, storage, and access.
• Utilize tools like StitchData and Apache Hudi for data integration and incremental management, improving efficiency and enabling complex operations.
• Identify and resolve data quality and consistency issues, implementing monitoring processes across pipelines and storage systems.

Requirements:

• Strong Python skills and proficiency in associated libraries for data processing and manipulation.
• Expertise in AWS Glue/pyspark, AWS Lambda, and Kafka for ETL workflow development and streaming architecture.
• Experience in designing and implementing relational databases, specifically Postgres.
• Practical knowledge of data pipeline development, ETL processes, and data warehouses.
• Familiarity with data integration tools like StitchData and Apache Hudi for efficient incremental data management.
• Advanced level of English for effective communication and collaboration.

Benefits:

• Competitive salary.
• Annual offsite team trip.
• Learn from a very high performing team.
• Training from US mentors.

If you're a passionate Data Engineer with experience in these technologies and seek a stimulating and challenging environment, join our team and contribute to the success of our advanced data processing and management solutions!

Remote, Latam, Full Time, Individual Contributor, +2 years of experience

Who We Are

At Yuno, we are building the payment infrastructure that enables all companies to participate in the global market. Founded by a team of seasoned experts in the payments and IT industries, Yuno provides a high-performance payment orchestrator. Our technology offers companies access to leading payment capabilities, allowing them to engage customers confidently and maintain global business operations with seamless payment integrations worldwide.

Shape your future with Yuno!

We are Orchestrating the best high-performing team!

If you’re a Data Engineer, specialized in ETL's and you enjoy solving complex problems with code, developing and you are not afraid of learning new things, we are looking for you.

As a SR Data Engineer, you will be part of the team delivering the different parts of our production-ready product, while co-designing and implementing an architecture that can scale up with the product and the company.

? Your challenge at Yuno

• Implement any type of extraction ( Manuals, mails, SFTP, and Apis)

• Build solutions for application integrations, task automation and any relevant data automation using proven design patterns.

• Design and build data processing pipelines for large volumes of data that are performant and scalable.

• Build and maintain the infrastructure required for extraction, loading, transformation and storage of data from multiple data sources using custom scripted.

• Collaborate with the team to develop and maintain a robust and scalable data infrastructure to support our data needs.

• Implement and enforce data governance policies and best practices to ensure data quality, security, and compliance.

• Manage and optimize data warehousing solutions for efficient storage and retrieval of data.

• Develop and maintain data lake solutions for storing and managing diverse data types.

• Use big data technologies and frameworks to process and analyze large datasets efficiently.

• Work with distributed data systems and technologies to handle high volumes of data.

• Integrate data from multiple sources.

? Skills you need

Minimum Qualifications

• Proven experience as a Data Engineer or similar role in a data-intensive environment.

• Strong proficiency in Python and SQL.

• Knowledge of data infrastructure design and management.

• Familiarity with data governance principles and practices.

• Experience with ETL processes and tools.

• Proficiency in working with Data Warehouses or Data Lakes.

• Familiarity with big data technologies and distributed data systems.

• Ability to integrate data from multiple sources.

• Knowledge of Spark is a plus.

• Verbal and written English fluency.

? What we offer at Yuno

• Competitive Compensation

• Remote work - You can work from everywhere!

• Home Office Bonus - We offer a one time allowance to help you create your ideal home office.

• Work equipment

• Stock options

• Health Plan wherever you are

• Flexible Days off

• Language, Professional and Personal growth courses

¡Esta propuesta te puede interesar!

• Gains a thorough understanding of the requirements and ensure that work product aligns with customer requirements.
• Works within the established development guidelines, standards, methodologies, and naming conventions.
• Builds processes to ingest, process, and store massive amounts of data.
• Assists with optimizing the performance of big data ecosystems.
• Wrangles data in support of data science projects.
• Performs productionization of ML and statistical models for Data Scientists & Statisticians.
• Constructs, tests, and maintains scalable data solutions for structured and unstructured data to support reporting, analytics, ML, and AI.
• Assists with research and building of proof of concepts to test out theories recommended by Senior and Lead Data Engineers.
• Collaborates and contributes in identifying project risks, designing mitigation plans, and developing estimates.
• Contributes to the design and development of data pipelines and feature engineering of data solutions.
• Established processes or methods are still relied on; however, Data Engineers will be required to come up with creative solutions to problems. Senior teammates are still needed to provide oversight on solutions to complex problems.

Requirements:

• Experience: Minimum of 5 years of proven experience as a Data Engineer or in a similar role.
• Robust Technical Skills in:
• Microsoft Data Factory: Solid experience in designing and building data pipelines.
• Azure Data Lake: Deep understanding of storing and managing data at scale.
• Azure: Hands-on experience within the Microsoft Azure data services ecosystem.
• Databricks: Proficiency in using the Databricks platform for data processing and solution development.
• Python: Advanced proficiency in Python for data engineering, scripting, and application development.
• SQL: Advanced experience with SQL for manipulating, querying, and optimizing relational databases.
• Problem-Solving Mindset: Demonstrated ability to approach and solve complex challenges with a solution-oriented focus.
• Inquisitive Mindset & Continuous Learning: A constant desire to explore new technologies, methodologies, and enhance skills.
• Excellent Communication Skills: Ability to communicate clearly and effectively with technical team members and non-technical stakeholders.
• Ability to work both independently and as part of a collaborative team.

Si consideras que reunís los requisitos para el puesto y te gustan los desafíos, no lo dudes…. ¡Postulate!

Sobre Randstad

En Randstad nos moviliza ayudar a las personas y a las organizaciones a desarrollar todo su potencial. Ese es el compromiso que asumimos como compañía en todo el mundo, un compromiso que nos impulsa a ir más allá para lograr que nuestros clientes y candidatos alcancen el éxito. ¿Cómo lo hacemos?, combinando nuestra pasión por las personas con el poder de la tecnología, creando experiencias más humanas, que nos permitan ser una fuente de inspiración y apoyo para quienes nos eligen. Porque estamos convencidos de que mejores personas hacen mejores.

Nos esforzamos todos los días en crear un entorno diverso y nos enorgullece ser una empresa con igualdad de oportunidades para todas las personas, independientemente de su raza, color, religión, sexo, identidad sexual u orientación sexual, país de origen, genética, discapacidad o edad.

educación

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