Senior Data Engineer

• Work closely with Subject Matter Experts (SMEs) to design and develop data models, data pipelines, and front-end applications.
• Implement data transformations to derive new datasets or create ontology objects required for business applications.
• Monitor and troubleshoot critical issues, including data staleness and data quality.
• Optimize data pipeline performance, including latency and resource utilization.
• Develop operational applications using Palantir Foundry tools (Workshop, Quiver, and Slate).
• Develop data visualizations using Foundry tools (Quiver and Contour).
• Maintain applications as usage increases and business requirements evolve.
• Provide 24x7 operational support as required.
• Mentor junior data engineers.

The ideal candidate will be proactive, detail-oriented, and motivated, with the ability to thrive in a fast-paced environment and help scale product development to meet evolving business needs., * Bachelor’s degree in computer science, Engineering, or a related field.

• 5+ years of experience as a Data Engineer.
• Hands-on experience building data pipelines from data ingestion through final object delivery.
• Experience developing analytical applications, reports, and dashboards.
• Strong SQL skills and experience working with large datasets and complex data structures.
• Complete proficiency in Python.
• Complete proficiency in PySpark.
• Excellent problem-solving and analytical skills, with strong attention to detail.
• Experience with the Palantir Foundry platform and its tools:
• Workshop
• Quiver
• Contour
• Slate
• Experience with Tableau or Power BI.

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