Growth Data Engineer — Scale Data Pipelines & Insights

Atomic Hr

Quilmes

Remoto

ARS 1.200.000 - 1.800.000

Tempo pieno

3 giorni fa
Candidati tra i primi

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Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Chevron Global Business Services (GBS) in Buenos Aires, Argentina, is seeking a Data Engineer to design, build and maintain automated data transformation pipelines that support data architecture and analytics across the enterprise.

You will work with Azure Data Factory, Databricks and a range of storage and compute technologies, ensuring data quality, security, and availability for data scientists and business users worldwide.

Competenze

  • BS in Computer Science, MIS, Computer Engineering or related field or equivalent experience.
  • +5 years in Data Engineer role.
  • Experience with ETL, data movement, and analytics architecture.
  • Knowledge of cloud data platforms including Azure stack and Databricks.

Mansioni

  • Understand business data needs to support workflows and objectives.
  • Leverage data, software engineering and data science techniques to create data products.
  • Normalize and ingest data from multiple sources.
  • Enable data scientists with accessible data for analytics models.
  • Collaborate with ML engineers to scale and deploy solutions.
  • Contribute to internal tool development and data services.

Conoscenze

Analytical thinking
Communication
Critical thinking

Formazione

BS in Computer Science or related field or equivalent experience

Strumenti

Azure Data Factory
Databricks
Python
Azure Synapse
Azure SQL
Git
CI/CD Pipelines
Ansible

Descrizione del lavoro

Chevron Global Business Services (GBS) in Buenos Aires, Argentina, is seeking a Data Engineer to design, build and maintain automated data transformation pipelines that support data architecture and analytics across the enterprise.

You will work with Azure Data Factory, Databricks and a range of storage and compute technologies, ensuring data quality, security, and availability for data scientists and business users worldwide.

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