Candidates ready to join immediately can share their details via email for quick processing.
📌 CCTC | ECTC | Notice Period | Location Preference
nitin.patil@ust.com
Act fast for immediate attention! ⏳📩
Must-Have Skills
- 5+ years of experience in Data Engineering
- Strong hands-on experience with Python
- Proficiency in PySpark for distributed computation
- Good knowledge of SQL for data transformations and querying
- Experience developing pipelines, workflows, and applications on Palantir Foundry
- Ability to design, build and optimize large-scale data pipelines
- Familiarity with cloud environments (AWS preferred)
- Strong debugging, performance tuning, and problem-solving skills
- Ability to work in fast-paced, Agile environments
- Immediate joiner preferred
Good-to-Have Skills
Experience with ScalaKnowledge of AWS services such as S3, Lambda, Glue, EMR, etc.Understanding of CI / CD pipelines and DevOps practicesExperience with data modeling, data quality, and governance frameworksExposure to data visualization or BI toolsExperience working in product engineering or large-scale enterprise environmentsKey Responsibilities
Develop and optimize data pipelines and Foundry applicationsWrite efficient, scalable code using Python, PySpark, SQLWork with cross-functional teams to understand business requirementsPerform data ingestion, transformation, validation, and quality checksOptimize distributed workloads and troubleshoot performance issuesDeploy and maintain Foundry data assets and workflowsEnsure best practices for code quality, versioning, and documentation