Data Engineer
ReeloBengaluru, PuneOn-siteDirect career pageEst. 10–22 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Own and improve end-to-end data pipelines from MongoDB to ClickHouse, including health and fault resolution for consumers.
- Ensure data accuracy through reconciliation between source and reporting systems and investigate customer-reported mismatches with root cause analysis.
- Optimize ClickHouse schema and queries to meet performance and cost targets, including moving batch recomputations to incremental processing and managing on-call responsibilities for pipeline health.
Minimum Requirements
- Strong experience with ClickHouse and analytical SQL (CTEs, window functions, argMax, joins).
- Production experience running SQS or Kinesis pipelines using Node.js.
- Solid MongoDB experience including aggregations, indexes, and change data capture.
- Hands-on use of Claude Code or similar AI coding tool, with rigorous verification of AI-generated outputs before deployment.
Ideal Candidate Profile
- Technical operator comfortable owning and troubleshooting live production data pipelines and root cause analysis rather than quick fixes.
- Experience with distributed event stream systems (Kinesis, SQS) and modern cloud data platforms (ClickHouse, MongoDB).
- Skilled in incremental data processing strategies and performance tuning in analytics databases, with attention to operational cost control.