Job Summary
We are looking for a Data Engineer with 2+ years of experience in PySpark, Python, and SQL, along with mandatory hands-on experience with the Palantir Foundry platform. The candidate should have experience designing and implementing data analytics solutions on enterprise data platforms and distributed computing environments such as Spark, Hive, or Hadoop. Robust knowledge of data modelling, data transformation, and end-to-end data management for analytical use cases is required.
The role involves understanding customer requirements and translating them into best-fit technical designs and data architecture. Candidates should be proficient in SQL, preferably Spark SQL, and have experience building scalable, reliable, and high-quality data pipelines for enterprise analytics and reporting requirements.
- 2+ years of experience in PySpark, Python, and SQL
- Hands-on experience with the Palantir Foundry platform
- Experience designing and implementing data analytics solutions on enterprise data platforms and distributed computing environments such as Spark, Hive, or Hadoop
- Strong knowledge of data modelling, data transformation, and end-to-end data management for analytical use cases
- Proficient in SQL, preferably Spark SQL
- Experience building scalable, reliable, and high-quality data pipelines for enterprise analytics and reporting
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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