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Remote and metro location increase applicants, but senior level and specialized skills limit the pool.
Core data-engineering skills transfer broadly, though MDM and reconciliation needs add domain specificity.
Mandatory 7+ years plus specific Kafka, CDC, MDM, and programming requirements enforce strict filtering.
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Own design, development, and maintenance of scalable batch and real-time data ingestion pipelines using Medallion architecture.
Implement data quality, validation, reconciliation, and monitoring frameworks across data pipelines.
Develop identity resolution, deduplication, and Golden Record (MDM) solutions including source-to-canonical data mappings and schema validation.
7+ years of experience in Data Engineering / Data Pipeline development.
Strong technical skills with Apache Kafka including Producers, Consumers, Replay, DLQ, and Exactly-once/Idempotent processing.
Proficient in SQL, ETL/ELT fundamentals, and programming in Java and/or Python.
Experience with CDC, Batch & Streaming pipelines, Medallion/Lakehouse architecture, Data Quality frameworks, MDM concepts, and source-to-target mapping with YAML/JSON and Git.
Senior engineer experienced in building and operating real-time and batch data pipelines in complex environments.
Deep understanding of data engineering patterns including CDC, checkpointing, data reconciliation, and schema/version management.
Experience collaborating with cross-functional teams to onboard data sources and optimize pipeline performance.