Palantir Foundry Professional

Job description

Educational Requirements - Bachelor of Engineering - BTech - BSc - BCA - MTech - MCA - MSc Service Line Data Analytics Unit Responsibilities - Data Engineering Pipeline Development: Build and maintain scalable data pipelines using Palantir Foundry (Code Repositories, Pipelines, Ontology). - Ingest data: Perform data ingestion, transformation, and integration from multiple sources. - Ensure data quality, integrity, and reliability across datasets. - Foundry Platform Development: Develop and manage workflows using Foundry tools (Pipeline Builder, Code Workbook, Workshop Apps). - Implement business logic using Python, SQL, or PySpark. - Work with Foundry Ontology to model business entities and relationships. - Application Development: Build user-facing applications using Foundry Workshop. - Create dashboards and analytics for business users. - Enable real-time or near-real-time insights. - Collaboration Stakeholder Management: Collaborate closely with business teams to understand requirements. - Translate business problems into data solutions. - Provide technical guidance on best practices. - Performance Optimization: Optimize data pipelines for performance and scalability. - Monitor jobs and troubleshoot failures. - Implement efficient data models. - Technical Skills: Hands-on experience with Palantir Foundry (mandatory for mid/senior roles). - Strong SQL skills and experience with relational databases. - Proficiency in Python / PySpark / Spark. - Experience with ETL/ELT pipeline design. - Knowledge of data modeling concepts. - Platform Knowledge: Foundry components: Code Repositories, Ontology, Pipeline Builder, Workshop / Slate / Quiver. - Familiarity with distributed data processing. - General Skills: Strong problem-solving skills; Ability to work in agile environments; Good communication and stakeholder engagement. Additional Responsibilities - Experience with big data technologies (Hadoop, Spark, Kafka). - Knowledge of cloud platforms (AWS, Azure, GCP). - Experience in data governance and security. - Prior consulting or client-facing experience. Technical and Professional Requirements - Technology - Data Engineering - Palantir Foundry Preferred Skills - Palantir Foundry