Duties & Responsibilities
Designs, develops, tests, and maintains scalable batch and streaming data pipelines.
Builds and supports data ingestion, transformation, and integration capabilities across enterprise data sources.
Works with Kafka/Confluent, Snowflake, SQL databases, and up-to-date lakehouse technologies such as Iceberg or Delta Lake.
Develops data processing solutions using Python, Spark, SQL, or cloud-native data services.
Supports data governance, cataloging, lineage, quality, consent, masking, and lifecycle management use cases.
Collaborates with architects, product managers, and engineering teams to design reliable Data Plane services.
Reviews technical designs, improves coding standards, and mentors junior developers.
Creates estimates, documents technical approaches, and delivers high-quality work on time.

Knowledge, Skills & Abilities
Solid experience in data engineering, ETL development, data integration, and data pipeline design.
Robust SQL skills with experience in SQL Server, Snowflake, PostgreSQL, or similar databases.




Hands-on experience with Kafka/Confluent, Spark, Python, Snowflake, and modern lakehouse technologies.
Familiarity with REST APIs, JSON, CDC concepts, data ingestion patterns, and data transformation frameworks.
Experience with Azure, ADLS, CI/CD, Git, and Infrastructure-as-Code concepts is preferred.

Qualifications
5+ years of applicable software engineering or data engineering experience.
2+ years of specialized experience in data platforms, streaming systems, ETL, or data integration.
Bachelor s degree or equivalent experience.
Experience with data governance, cataloging, lineage, data quality, or enterprise data platforms is preferred

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Product Developer, Sr Data Engineering, Kafka, Etl Karnataka
🏢 Epicor
📍 Karnataka