Padmi

Java Kafka (Kochi)

IndiaPosted 1 month ago
Software engineeringMid-levelFull Time; Regular
Apply at Bytestrone

Opens the source posting on shine.com

Source description

About the role

View original

Java Data Pipeline Kafka Experience: 5-12 years | Job Mode: Work From Office | www.bytestrone.com | Location : Bytestrone India Pvt. Ltd. 201, Lulu IT Cyber Twin Tower 1,Smart City SEZ, Kakkanad -Kochi -Kerala Senior/Lead and Mid-level openings ODL Program About the Role You will build and operate the data backbone of ODL: bulk and streaming ingestion from legacy source systems, medallion-layered storage (Bronze/Silver/Gold), identity resolution and golden-record consolidation, source-to-canonical mapping and crosswalks, and the data-quality and reconciliation gates that prove data is complete and correct before it is published. This is the volume engine of the program every recent client onboarded flows through the pipelines you build. What Youll Do Build batch-seed and event-tail ingestion per source system, including seed tail watermark hand-off, 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 Were 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 fund .

One address, no account. We’ll tell you when matching roles go live.

More at Bytestrone

Related open roles

View all roles