Senior Data Engineer - SQL/ETL & AWS Data Pipelines

Open Technology Group; Buenos Aires; Presencial; ARS 1.200.000 - 1.800.000; Jornada completa

Descripción de la vacante

Chevron Global Business Services (GBS) in Buenos Aires, Argentina is seeking a Data Engineer to design and maintain automated data transformation pipelines using a broad set of storage and compute technologies. The role focuses on enabling data accessibility for analytics and supporting data architecture across the global corporation.

Responsibilities include data ingestion, cleansing, and modeling to support business processes, collaborating with ML engineers, and contributing to foundational

Formación

• BS in Computer Science, MIS, Computer Engineering or related fields or equivalent experience.
• 5+ years in Data Engineer role.
• Experience with data ingestion, preparation and validation; data movement and transformation; analytics architecture; big data computing; cloud computing; information security technologies.

Responsabilidades

• Understand business use of data and stakeholder requirements to support work processes.
• Leverage data, software engineering, and data science techniques to create business value through data accessibility.
• Identify, acquire, cleanse & prepare, store data and develop data products aligned with defined architecture patterns.
• Normalize and ingest data from multiple sources.
• Enable data scientists by making data available for analytics models.

Conocimientos

Azure Data Factory

Databricks

Python

Java

Ansible

CI/CD

DevOps

Azure SQL

Azure Synapse

Git

Azure Data Lake

Logic Apps

Data Warehousing

Educación

BS in Computer Science, MIS, Computer Engineering or related field

Herramientas

Azure DevOps

CI/CD Pipelines

Descripción del empleo

Chevron Global Business Services (GBS) in Buenos Aires, Argentina is seeking a Data Engineer to design and maintain automated data transformation pipelines using a broad set of storage and compute technologies. The role focuses on enabling data accessibility for analytics and supporting data architecture across the global corporation.

Responsibilities include data ingestion, cleansing, and modeling to support business processes, collaborating with ML engineers, and contributing to foundational