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Popular mid-level data engineer role in Bangalore with generalist requirements increases candidate competition.
Core data engineering skills are transferable, though Palantir Foundry adds moderate specialization.
Explicit 5-12 years and mandatory Palantir Foundry, PySpark, Snowflake skills make filters stringent.
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Design, implement, and maintain scalable data pipelines and models using Palantir Foundry, AWS, and Snowflake.
Collaborate with cross-functional teams to translate data requirements into technical solutions and ensure data quality, integrity, and security.
Optimize data workflows for performance and cost efficiency, and mentor junior engineers in best practices and documentation.
5-12 years of experience in data engineering, analytics, or software engineering.
Strong hands-on expertise with PySpark, Palantir Foundry (including ontology modeling), AWS, Python, SQL, and Snowflake.
Experience with data integration, ETL workflows, cloud data warehouses, and CI/CD pipelines (Git).
Work Location: Bangalore, India. Notice period: Not explicitly mentioned in the JD.
Experienced in building scalable and reliable data engineering solutions in enterprise environments using modern cloud platforms and Foundry.
Proficient in translating complex data requirements into performant and cost-effective pipelines and data architectures.
Capable of mentoring junior staff and contributing to team documentation and knowledge sharing.