Palantir Sr. Data Engineer

2 weeks ago

Toronto, Ontario, Canada TalentVault Network Inc. Full time

Palantir Sr Data Engineer

Location:
Toronto, ON

Remote:
within Canada

Contract:
6 months +

Role & Responsibilities

  • Support Palantir Foundry Application Development by designing and developing full stack applications
  • Work on both frontend and backend components to ensure seamless integration and functionality
  • Improve application User Interface and visualization design
  • Implement operational applications using Foundry Tools (Workshop, Quiver, and Slate)
  • Develop interactive workflow UIs and build / access data versions within the tool for analytics
  • Develop writeback functionality into the tool as needed
  • Implement data visualizations using Foundry Tools (Quiver and Contour) and / or Power BI
  • Maintain applications as usage grows and requirements change
  • Develop data pipelines using PySpark to create datasets, Foundry objects, and User Interface applications
  • Collaborate with the Data Engineering Team to understand the ontology and data pipelines supporting the applications
  • Support end-to-end data pipeline development using Python and PySpark for ETL processes
  • Support designing and building high-scale data-intensive workflows
  • Perform data validations and analysis, using PyTest to create and implement unit tests
  • Implement Foundry Expectations within Foundry Health checks for automated validations
  • Monitor and debug critical issues such as data staleness or data quality
  • Develop and execute unit tests, integration tests, and end-to-end tests to ensure software quality
  • Debug and resolve issues reported by users or identified through testing

Qualifications:

  • 2-3 years of experience in Palantir Foundry MUST HAVE SKILL
  • 6+ years in Data Engineering using PySpark
  • Strong experience with Palantir Data Engineering features such as, Code Repo, Code Workbook, Pipeline Build and AIP
  • Design, develop Data Pipelines, and have excellent skills in PySpark and Spark SQL, hands on with code Build and deployment in Palantir.
  • API skills and basics (such as React JS)

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