Job Title

Role : Data Engineer(Pyspark & Palantir)Location: BangaloreExperience range: 5 to 10yrsNotice period: 0-30/45 days or Immediate joiners are preferredMode of Interview: VirtualDate of Interview: 18th Dec,25(Thursday)Time of Interview: 10am to 2pmEx-TCSers are not allowed and experience range less than 5yrs will not be consideredKey Responsibilities:- Design, develop, and maintain data pipelines and ETL workflows using PySpark, SQL, and Palantir Foundry. - Collaborate with data architects, business analysts, and actuarial teams to understand reinsurance data models and transform complex datasets into usable formats. - Build and optimize data ingestion, transformation, and validation processes to support analytical and reporting use cases. - Work within the Palantir Foundry platform to design robust workflows, manage datasets, and ensure efficient data lineage and governance. - Ensure data security, compliance, and governance in line with industry and client standards. - Identify opportunities for automation and process improvement across data systems and integrations.-Required Skills & Qualifications:- 5-10 years of overall experience in data engineering roles. - Strong hands-on expertise in PySpark (data frames, RDDs, performance optimization). - Proven experience working with Palantir Foundry. - Good understanding of reinsurance including exposure, claims, and policy data structures. - Proficiency in SQL, Python, and working with large datasets in distributed environments. - Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) and related data services (e.g., S3, Snowflake, Databricks). - Knowledge of data modeling, metadata management, and data governance frameworks. - Familiarity with CI/CD pipelines, version control (Git), and Agile delivery methodologies.Thanks & RegardsShilpa SiloneeBFSI TAG Team