Palantir Data Engineer

Your Profile

• Experience of 4+ years in Palantir Data Engineering . Experience in DevOps, Infrasturcure as a code, DataOps, MLOps. Data warehousing, data modelling and data integration for enterprise data environments.
• Experience with ETL tools primarily Talend and/or any other Data Integrator tools (Open source / proprietary), extensive experience with SQL and SQL scripting (PL/SQL & SQL query tuning and optimization) for relational databases such as PostgreSQL, Oracle, Microsoft SQL Server and MySQL etc., and on NoSQL like MongoDB and/or document-based databases. Experience in programming languages like Python, Pyspark, JavaScript, Java/ Scala etc.
• Provides data services for enterprise information strategy solutions - Works with business solutions leaders and teams to collect and translate information requirements into data to develop data-centric solutions.
• Design and develop modern enterprise data centric solutions (e.g. Palantir, DWH, Data Lake, Data Lakehouse) Responsible for designing of data governance solutions.

Your Role

• Design, create and maintain an optimal data pipeline architecture in Foundry. Identify, design, and implement internal process improvements in Foundry
• Palantir scheduling jobs for pipeline, monitoring Data pipeline health and configuring health checks and alerts. (Data expectations).
• Good Understanding and working knowledge on Foundry Tools: Ontology, Contour, Object-explorer, Ontology-Manager, Object-editor using Actions/ Typescript, Code workbook, Code Repository, Foundry ML.
• Responsible for architecture topics and solution scenarios in the areas of Cloud Data Analytics Platform, Data Engineering, Analytics, Reporting and designing viable architectures based on Palantir, Microsoft Azure, AWS, Snowflake, Google (or similar) and implementing analytics.