Location: India
Employment Type: Full-Time
Experience: Senior (7+ Years)

Roles & Responsibilities
Design, build, and maintain scalable batch and real-time data ingestion pipelines.
Develop and manage Bronze, Silver, and Gold (Medallion) data layers.
Implement CDC, watermarking, checkpointing, and batch-to-stream data processing.
Build robust data quality, validation, reconciliation, and monitoring frameworks.
Develop identity resolution, deduplication, and Golden Record (MDM) solutions.
Create and maintain source-to-canonical data mappings and crosswalks.
Ensure schema validation, versioning, and data contract enforcement.
Collaborate with cross-functional teams to onboard new data sources and optimize data pipelines.
Mandatory Skills
7+ years of experience in Data Engineering / Data Pipeline development.
Strong experience with Apache Kafka (Producers, Consumers, Replay, DLQ, Exactly-once/Idempotent processing).




Strong SQL and ETL/ELT fundamentals.
Hands-on experience in Java and/or Python.
Experience with CDC, Batch & Streaming pipelines, and Medallion/Lakehouse architecture.
Experience implementing Data Quality, Validation, and Reconciliation frameworks.
Knowledge of Master Data Management (MDM), Identity Resolution, Deduplication, and Golden Record concepts.
Experience with source-to-target mapping, canonical data models, YAML/JSON configuration, and Git.
Valuable to Have
Experience with probabilistic record matching and record linkage.
Schema Registry (Avro/Protobuf).
Experience extracting data from legacy/Mainframe systems.
Financial reconciliation experience.
Healthcare or Benefits Administration domain experience.

📌 Data Pipeline Engineer (Chennai)
🏢 PeerIslands
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