Responsiblities

Build batch-seed and event-tail ingestion per source system, including seed→ tail watermark handoff, idempotent upserts, and dedup ledgers

- Build and operate medallion layers with reprocess-from-Bronze, pipeline orchestration (checkpoints, retry/backoff, DLQ), and full observability

- Build data-quality gates (quarantine / pass-with-flag), quality scoring, and a reconciliation engine covering count, record, and financial reconciliation — financial is zero-tolerance

- Build identity matching combining deterministic rules with probabilistic scoring and confidence bands; deliver deduplication, golden-record materialization, and survivorship rules, calibrating match thresholds with labelled data

- Author and maintain source→ canonical structural mappings and value crosswalks (e.g., collapsing 1,800+ raw employment-status values to ~20 standard ones) as governed, versioned configuration

- Enforce data contracts at the boundary: schema registry, fail-fast validation, and semver-compatible schema evolution What We’re Looking For

- 5+ years building production data pipelines at scale

- Kafka depth: consumers/producers, replay,



DLQ, exactly-once / idempotent processing patterns

- Strong SQL and solid ETL fundamentals

- Java and/or Python in production

- Medallion/lakehouse layering, CDC, watermark/checkpoint patterns, and batch-stream hand-off

- Data-quality frameworks: validation rules, quarantine and re-entry, quality scoring, reconciliation

- Entity resolution / MDM exposure: record matching, dedup, survivorship — via commercial tools (Informatica MDM, Reltio) or custom builds

- Data mapping and crosswalk discipline: profiling messy datasets, authoring governed reference data, config-as-code (YAML/JSON, Git) Bonus Points

- Probabilistic record linkage at depth — blocking/candidate generation, scoring models, threshold calibration (expected at senior level)

- Schema registry experience (Avro/Protobuf)

- Extracting from mainframe or older RDBMS sources with limited CDC support

- Financial reconciliation in finance-adjacent domains

- Perks administration or healthcare domain knowledge

📌 Data Pipeline Engineer-Kafka(SJ-BY) (Kochi)
🏢 SE MENTOR SOLUTIONS
📍 Kochi