Data Engineer Palantir
Capgemini (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 8–18 LPA
Posted on 22 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, create, and maintain optimal data pipeline architecture using Palantir Foundry tools including scheduling, monitoring, and configuring alerts for data pipeline health.
- Develop and implement enterprise data-centric solutions such as Data Lakes, Data Warehouses, and Data Lakehouses, incorporating data governance design.
- Lead architecture and solution design for Cloud Data Analytics Platforms leveraging Palantir, Microsoft Azure, AWS, Snowflake, Google Cloud, and implement related analytics and reporting.
Minimum Requirements
- Experience in DevOps, Infrastructure as Code, DataOps, MLOps, data warehousing, data modelling, and enterprise data integration.
- Proficient with ETL tools especially Talend or similar, extensive SQL scripting and tuning experience for relational databases (PostgreSQL, Oracle, SQL Server, MySQL) and NoSQL databases like MongoDB.
- Programming skills in Python, Pyspark, JavaScript, Java, or Scala.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Demonstrates strong expertise in Palantir Foundry platform and its tools (Ontology, Contour, Object-explorer, Ontology-Manager, Code workbook, Foundry ML).
- Experienced in designing and implementing data governance and enterprise data architectures in multi-cloud environments.
- Capable of translating business requirements into scalable, maintainable data-centric technical solutions with focus on data engineering and analytics.