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Data Engineer

chevron · Buenos Aires

Nuevo
Senior 🇬🇧 English
Azure Data Factory Databricks DevOps CI/CD Python Java Ansible Azure SQL Azure Synapse Git ADO Azure Data Lake Azure Analysis Services Logic Apps Microsoft Data Flows Kimball data warehousing

Descripcion del puesto

About the role

Chevron Global Business Services (GBS) in Buenos Aires (Puerto Madero) is hiring a Data Engineer within its IT organization, part of a multifunction service and technical center of more than 1,800 employees serving the corporation worldwide. The role uses software engineering principles to deploy and maintain fully automated data transformation pipelines combining many storage and computation technologies, supporting data architecture design.

Key responsibilities

  • Understand business use of data and stakeholder requirements to support work processes and strategic objectives.
  • Use data, software engineering and data science techniques to make data accessible, including ingestion, preparation and analytics processing.
  • Identify, acquire, cleanse and prepare data, store it and develop data products aligned with defined architecture patterns.
  • Normalize and ingest data from multiple sources.
  • Enable data scientists by providing data for advanced analytics models and contribute to them.
  • Work with the ML Engineer to scale and deploy solutions, including model, documentation, training and integration.
  • Contribute to the inner source development of foundational tools and/or the deployment of technical services.

Required profile

  • BS in Computer Science, Management Information Systems, Computer Engineering or a related field, or equivalent experience.
  • At least 5 years in a Data Engineer role.
  • Analytical thinking, consulting and critical thinking.

Required skills

  • Data acquisition, preparation, validation, movement and transformation.
  • Analytics solution architecture, big data computing and cloud computing.
  • Core data architecture and information security technologies.
  • Preferred technologies: 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.

Relocation may be considered, but expatriate assignments are not considered. Chevron does not sponsor employment visas or consider individuals on time-limited visa status for this position.

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Source : ats:workday

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Buenos Aires