Senior Data Engineer: Databricks, GCP & Data Pipelines

Fullstack; Partido de Quilmes; A distancia; ARS 136.732.000 - 197.502.000; Jornada completa

Descripción de la vacante

Chevron Global Business Services (GBS) in Buenos Aires, Argentina, is seeking a Data Engineer to design and operate scalable ETL/ELT pipelines using Databricks, PySpark, and SQL. You will enable data scientists by making data accessible and building data products aligned with architecture.

You will collaborate with ML engineers, scale and productionize workflows, ensure data quality, and optimize performance across Delta Lake, BigQuery, and cloud services, joining a global IT organization

Formación

• BS in Computer Science, MIS, Computer Engineering or related field.
• 5+ years of Data Engineer experience.
• Experience with data acquisition, preparation and validation; data movement and transformation; analytics solution architecture.
• Knowledge of big data computing and cloud computing.
• Experience with ETL/ELT, data pipelines, data quality and security.

Responsabilidades

• Understand business use of data and stakeholder requirements to support work processes and strategic objectives.
• Leverage data, software engineering and data science techniques to create business value through data accessibility (ingestion, preparation, analytics).
• 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 and contribute to models.
• Collaborate with ML engineers to scale and deploy data solutions.

Conocimientos

Databricks

PySpark

SQL

Data access

Data analysis

Data pipelines

Analytical thinking

Educación

BS in Computer Science / MIS / Computer Engineering

Herramientas

Databricks

BigQuery

Delta Lake

Azure Data Factory

Azure Synapse

Python

Git

CI/CD

Descripción del empleo

Chevron Global Business Services (GBS) in Buenos Aires, Argentina, is seeking a Data Engineer to design and operate scalable ETL/ELT pipelines using Databricks, PySpark, and SQL. You will enable data scientists by making data accessible and building data products aligned with architecture.

You will collaborate with ML engineers, scale and productionize workflows, ensure data quality, and optimize performance across Delta Lake, BigQuery, and cloud services, joining a global IT organization