Description

Build and manage data pipelines, infrastructure, and models for analytical use.

This role is hybrid.

Responsibilities

• Implement data processing workflows using ETL principles.
• Design and build data models for analytical purposes.
• Develop solutions leveraging cloud data services (AWS or Azure).
• Integrate data sources using APIs or warehousing solutions.

Required Skills

• 5+ years of professional experience in Data Engineering.
• Proficiency with AWS services (S3, Glue, Athena, Kafka) or Azure services (Data Factory, Synapse).
• Experience with data warehousing concepts or data modeling techniques.
• Familiarity with ETL design and implementation.
• Working knowledge of Palantir platforms (AIP, Foundry, Gotham, Apollo).
• Demonstrable experience with SQL and data transformation logic.

Key Skills

Education

Any Graduate