Data Engineer Senior - Databricks - Eng
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Descripción de la vacante
Chevron Global Business Services (GBS) in Buenos Aires, Argentina, seeks a Data Engineer to design and maintain automated data pipelines across cloud platforms. You will develop scalable ETL/ELT workflows, enable data scientists with reliable data access, and ensure data quality for global analytics.
Responsibilities include building Databricks PySpark jobs, integrating with BigQuery and Delta Lake, and collaborating with cross-functional teams to deliver production-grade data solutions.
Formación
- 5+ years in Data Engineer role.
- Knowledge of data acquisition, preparation and validation; data movement and transformation.
- Experience with cloud data architectures and data security concepts.
- Strong analytical and troubleshooting skills.
- Fluency in English (mandatory).
Responsabilidades
- Design, build, and optimize scalable ETL/ELT data pipelines using Databricks, PySpark, and SQL.
- Develop and operationalize agentic workflows to automate data engineering tasks.
- Collaborate with data science and platform teams to support analytics and dashboards.
- Ensure data quality, monitoring, and production controls across pipelines.
- Troubleshoot data ingestion and processing issues in AWS/GCP environments.
- Document ingestion logic and maintain robust data lineage.
Conocimientos
Educación
Herramientas
Descripción del empleo
Responsible for the daily operation, configuration, monitoring, and maintenance of the cloud BigData service field in the Latin American region, and serves as the second-line support for handling demand changes, customer incident, and alarm tickets.
Responsible for the active operation and maintenance of a single cloud service, including SLO construction, process optimization, capacity management, standardized transformation, disaster recovery construction, daily drills, etc., by developing corresponding automation plug-ins on the tool platform to optimize operation and maintenance efficiency and availability.
Understand the core design principles of Hadoop, including HDFS architecture and read/write flows, YARN's resource scheduling model, and the MapReduce computing paradigm.
Understand basic data warehouse concepts (fact tables, dimension tables) and the architecture of Hive, especially the role of the Metastore and how HQL is translated into computation jobs.
Understand the core concepts of Spark, such as RDD resilience and fault tolerance, the advantages of DataFrames for structured data processing, and the execution flow of a Spark job.
Strong knowledge of Linux operating systems and environments.
A self-starter able to work independently but comfortable working in a team environment.
Ability to quickly learn new or unfamiliar technology and products using documentation and internet resources.
General skills of the operating system: Familiar with the daily operation and maintenance of the operating system, master the troubleshooting and handling of common operating system problems, experience in using shell/python for automated operation and maintenance is preferred.
General troubleshooting skills: System Log analysis, Packages catch and Analysis, Traffic analysis, Monitor design and optimize.
Ability to write common HQL/SQL for data querying, joins, and simple aggregations.
Possess basic troubleshooting skills to identify the preliminary cause of MapReduce/Spark job failures (OOM, data skew) by analyzing YARN UI and log files.
Proficient in English and can use it as a working language (Mandatory)
+1 Year of experience.
Must be available to work On-Site.
AWS/Azure/Google Cloud Certification or other related certificates
Buenos Aires, Buenos Aires, Argentina
Full time
R
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.
- 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.
- 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 may be considered.
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 / Aff ... 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.
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.
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
We are looking for a Data Engineer with strong Databricks and GCP experience to develop scalable ETL/ELT pipelines and productionize agentic workflows for data engineering automation.
- Design, develop, and optimize scalable ETL/ELT data pipelines using Databricks, PySpark, and SQL.
- Build and operationalize agentic workflows to automate data engineering and operational processes such as data validation, issue identification, troubleshooting, and workflow execution.
- Integrate agentic capabilities with existing Databricks, GCP, BigQuery, and Delta Lake environments.
- Develop data pipelines and processing solutions to support new business requirements and datasets.
- Build reusable frameworks and components that can be leveraged across multiple data engineering and business use cases.
- Implement data quality checks, monitoring, validation, exception handling, and production controls.
- Optimize PySpark and SQL workloads for performance, reliability, and scalability.
- Support testing, deployment, productionization, and ongoing enhancement of data and agentic solutions.
- Troubleshoot complex data and production issues and implement sustainable solutions.
- Collaborate with business, data engineering, and platform teams to identify further automation opportunities.
- 5+ years of strong hands-on experience with Databricks and PySpark.
- Advanced SQL and data-processing skills.
- Hands-on experience with GCP, particularly BigQuery.
- Experience with Delta Lake and modern data lake/lakehouse architectures.
- Strong understanding of ETL/ELT, data pipeline design, performance optimization, and data quality.
- Experience building reliable, scalable, production-grade data solutions.
- Strong analytical and troubleshooting skills.
- Understanding of software engineering practices, including testing, version control, deployment, monitoring, and production support.
- Experience developing or integrating AI/agentic workflows, AI agents, or workflow automation solutions.
- Experience applying AI to automate data engineering, validation, troubleshooting, or operational processes.
- Familiarity with orchestration and automation frameworks.
- Experience developing reusable data engineering frameworks and platform components.
- Exposure to productionizing AI-enabled solutions with appropriate validation, monitoring, and human oversight.
- Professional growth : Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation : We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
- A selection of exciting projects : Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
- Flextime : Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
We are looking for a Senior Data Engineer to lead the replacement of a third-party digital ingestion tool with a custom-built ETL pipeline. This person will document existing logic, evaluate build-vs-buy options such as Fivetran, and build a standalone pipeline within an existing AWS environment. Strong SQL and DSP or programmatic advertising experience are central to this role.
- Document current ingestion logic inside the legacy tool (TapClicks), including sources, endpoints, schemas, and transformation logic.
- Build the ETL pipeline to replace the legacy system, handling ingestion from the Amazon API, other DSP platforms, and related digital data sources.
- Evaluate and decide between off-the-shelf solutions (e.g., Fivetran) and custom-built ETL systems alongside the Infrastructure Lead.
- Design the pipeline as a standalone, owned system to power client-facing dashboards.
- Provide flexible engineering support for application and backend work within the AWS environment when directed.
- Coordinate with data science teams to ensure ingestion output aligns with the attribution and scoring logic of downstream models.
- Work seamlessly within the existing AWS environment (ECS, S3, RDS) rather than standing up parallel infrastructure.
- 4+ years of strong SQL and large-scale data ingestion/pipeline experience (batch ETL, orchestration, schema design).
- Direct or adjacent experience with digital advertising / DSP data (e.g., Amazon DSP, Amazon Advertising API, or comparable programmatic platforms).
- Working knowledge of AWS data services (RDS/Postgres, S3, ECS) sufficient to build within an existing cloud environment.
- Ability to contribute to application and backend work beyond pure ETL to support broader platform needs.
- Familiarity with, or ability to quickly evaluate, managed ELT tools (e.g., Fivetran) against custom builds.
- Ability to ramp into existing attribution and scoring logic so ingestion output aligns with downstream dashboard needs.
- Upper-intermediate English level.
- Experience replacing legacy third-party data pipelines with owned, custom infrastructure.
- Familiarity with MLOps pipelines and how data feeds predictive models.
- Experience working alongside part-time technical advisory leads to validate architecture decisions.
- Professional growth : Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation : We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
- A selection of exciting projects : Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
- Flextime : Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
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