Data Engineer Treasure Data
Impelsys (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 12–20 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Build and optimize robust, scalable ETL pipelines handling large-scale data processing.
- Manage and support Customer Data Platform (Treasure Data) infrastructure including workflow automation and performance tuning.
- Collaborate 50:50 between feature development with core team and technical analysis, production RCA, and business onboarding support.
Minimum Requirements
- Deep proficiency with Treasure Data Customer Data Platform and understanding of Trino/Hive and SQL.
- Strong hands-on experience in Python and PySpark for distributed data processing and batch transformations.
- Expert-level advanced SQL skills including optimized queries, window functions, schema design, and performance tuning.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in agile/scrum software development environments with continuous delivery pipelines.
- Able to operate in cross-functional teams bridging technical infrastructure with business analytics requirements.
- Strong focus on documentation and system-wide understanding of ETL workflows to reduce knowledge gaps.