Data Engineer - PySpark
YASH Technologies (company site, opens in a new tab)2–5 yrsPuneOn-siteDirect career pageEst. 6–12 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Build and optimize ETL/ELT data flows from source systems into data lake structures using PySpark within Palantir Foundry platform.
- Create and maintain documentation of Python code in Client Confluence platform.
- Estimate and resolve assigned tasks via ticketing system and participate actively in scrum meetings for work planning and review.
Minimum Requirements
- 2-5 years of experience as a PySpark Data Engineer or similar role.
- Experience with Palantir Foundry or similar data lake platforms (implied by role, but not explicitly stated).
- Proficiency in PySpark and Python for data engineering tasks.
- Location: Pune, India (onsite requirement implied by location listing).
Ideal Candidate Profile
- Hands-on experience migrating/building ETL/ELT pipelines in cloud-based data lake environments, preferably Palantir Foundry.
- Comfortable working in Agile scrum teams with task estimation and code documentation responsibilities.
- Mid-level data engineer with ability to manage workflows independently and interact with product owners for work review and planning.