Senior Data Engineer: Remote Pipelines, BigQuery & Spark

1302 Argentina Delivery Center Company; Buenos Aires; Remoto; ARS 84.997.000 - 139.086.000; Tempo pieno

Descrizione del lavoro

GBS Chevron Global Business Services in Buenos Aires, Argentina, is seeking a Data Engineer to design, build, and optimize end-to-end data pipelines supporting BI, analytics, and data science. You will work with cloud data platforms to normalize, ingest, and transform data from diverse sources, enabling rapid insights across the organization.

The role requires 5+ years in data engineering, experience with Azure Data Factory, Databricks, Azure Synapse, Python, SQL, and collaboration with data

Competenze

• BS in Computer Science, MIS, Computer Engineering or related field.
• +5 years in Data Engineer role.
• Experience with data ingestion, preparation and validation; data movement and transformation.
• Knowledge of cloud data architectures and data security best practices.

Mansioni

• Understand business use of data and stakeholder requirements to support work processes and objectives.
• Develop reliable data pipelines for ingestion, preparation and analytics processing.
• Normalize and ingest data from multiple sources into trusted platforms.
• Enable data scientists by providing accessible data for analytics models.
• Collaborate with ML engineers to scale and deploy data solutions.
• Contribute to data warehousing and platform optimization across cloud services.

Conoscenze

Analytical thinking

Consulting

Cross-functional collaboration

Formazione

BS in Computer Science or related field

Strumenti

Azure Data Factory

Databricks

Azure Synapse

Python

Java

Ansible

Azure SQL

GIT

CI/CD

Azure Data Lake

Logic Apps

Microsoft Data Flows

Kimball Data Warehousing

Descrizione del lavoro

GBS Chevron Global Business Services in Buenos Aires, Argentina, is seeking a Data Engineer to design, build, and optimize end-to-end data pipelines supporting BI, analytics, and data science. You will work with cloud data platforms to normalize, ingest, and transform data from diverse sources, enabling rapid insights across the organization.

The role requires 5+ years in data engineering, experience with Azure Data Factory, Databricks, Azure Synapse, Python, SQL, and collaboration with data