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High-impact Data Solutions Specialist
2 weeks ago
We are seeking a skilled data engineer to join our team. The ideal candidate will have experience working with large-scale data integration, modeling, and analytics, combined with strong programming skills in Python, PySpark, and SQL.
Key responsibilities include designing, implementing, and optimizing data pipelines using Palantir Foundry Pipeline Builder and Code Workbooks. Additionally, the candidate will ingest, transform, and model large datasets for downstream consumption by analytics and business applications.
The successful candidate will also build and manage Ontologies to enable end-user applications and workflows, develop custom transformations in Python, PySpark, and SQL within Foundry, and integrate Foundry with external data sources.
Strong analytical, problem-solving, and troubleshooting skills are essential, along with excellent communication and collaboration abilities in cross-functional teams.
Requirements- Hands-on experience with Palantir Foundry, especially Pipeline Builder and Code Workbooks.
- Strong expertise in Python, PySpark, and SQL for data processing and transformation.
- Experience in data modeling, ETL workflows, and data integration.
- Solid understanding of big data concepts and distributed data processing.
- Familiarity with cloud platforms and enterprise data environments.
- Experience working with Foundry Ontology, Contour, or Workshop.
- Exposure to machine learning pipelines or advanced analytics within Foundry.
- Knowledge of DevOps practices (CI/CD, Git, containerization).