Remote Senior Data Engineer: Data Pipelines & Analytics

Agileengine, Llc.

Quilmes

Remoto

ARS 1.200.000 - 1.800.000

Tempo pieno

3 giorni fa
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Descrizione del lavoro

Chevron Global Business Services (GBS) in Buenos Aires, Argentina seeks a Data Engineer to design and maintain automated data transformation pipelines across diverse storage and compute technologies. You will enable data scientists and analytics teams by delivering scalable data products and aligned with enterprise architecture.

Successful candidates will bring 5+ years in data engineering, strong SQL and Python skills, and experience with Azure data services, Databricks, and CI/CD.

Competenze

  • BS in a computer-related field or equivalent experience.
  • 5+ years in a Data Engineer role.
  • Experience with Azure data tools and CI/CD pipelines.

Mansioni

  • Understand business data needs and stakeholder requirements to support processes.
  • Leverage data and analytics to create business value and accessible datasets.
  • Ingest, cleanse, and prepare data from multiple sources for analytics.
  • Normalize and ingest data following defined architecture patterns.
  • Collaborate with ML engineers to scale analytics solutions and documentation.

Conoscenze

Data engineering
ETL/ELT
Cloud computing
Python
SQL
Analytical thinking
Critical thinking

Formazione

BS in Computer Science / MIS / Computer Engineering or equivalent

Strumenti

Azure Data Factory
Databricks
DevOps
CI/CD pipeline
Python
Java
Ansible
Azure SQL
Azure Synapse
Git / ADO
Azure Data Lake
Logic Apps
Kimball Data Warehousing

Descrizione del lavoro

Chevron Global Business Services (GBS) in Buenos Aires, Argentina seeks a Data Engineer to design and maintain automated data transformation pipelines across diverse storage and compute technologies. You will enable data scientists and analytics teams by delivering scalable data products and aligned with enterprise architecture.

Successful candidates will bring 5+ years in data engineering, strong SQL and Python skills, and experience with Azure data services, Databricks, and CI/CD.

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