Senior Databricks Data Engineer — Scalable ETL Pipelines

Muttdata; Buenos Aires; Presencial; ARS 182.310.000 - 273.465.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

Exciting projects with Fortune 500/Top

Flextime & flexible work

Descripción de la vacante

Chevron Global Business Services (GBS) in Buenos Aires, Argentina, seeks a Data Engineer to design and maintain automated data pipelines across cloud platforms. You will develop scalable ETL/ELT workflows, enable data scientists with reliable data access, and ensure data quality for global analytics.

Responsibilities include building Databricks PySpark jobs, integrating with BigQuery and Delta Lake, and collaborating with cross-functional teams to deliver production-grade data solutions.

Formación

• 5+ years in Data Engineer role.
• Knowledge of data acquisition, preparation and validation; data movement and transformation.
• Experience with cloud data architectures and data security concepts.
• Strong analytical and troubleshooting skills.
• Fluency in English (mandatory).

Responsabilidades

• Design, build, and optimize scalable ETL/ELT data pipelines using Databricks, PySpark, and SQL.
• Develop and operationalize agentic workflows to automate data engineering tasks.
• Collaborate with data science and platform teams to support analytics and dashboards.
• Ensure data quality, monitoring, and production controls across pipelines.
• Troubleshoot data ingestion and processing issues in AWS/GCP environments.
• Document ingestion logic and maintain robust data lineage.

Conocimientos

Databricks

PySpark

Advanced SQL

BigQuery

Delta Lake

ETL/ELT

Production-ready

Software engineering practices

English (upper-intermediate)

Educación

BS in Computer Science or related field

Herramientas

Databricks

GCP BigQuery

AWS (S3, ECS)

Azure Synapse

Descripción del empleo

Chevron Global Business Services (GBS) in Buenos Aires, Argentina, seeks a Data Engineer to design and maintain automated data pipelines across cloud platforms. You will develop scalable ETL/ELT workflows, enable data scientists with reliable data access, and ensure data quality for global analytics.

Responsibilities include building Databricks PySpark jobs, integrating with BigQuery and Delta Lake, and collaborating with cross-functional teams to deliver production-grade data solutions.