Data Engineer
Responsibilities
Design and build ETL pipelines for migration of party and relationship data
Implement data transformations, mapping, and validation aligned with the enterprise data model
Define data contracts and schemas; ensure CDC (change data capture) or dual-write consistency during phased cutover.
Develop and optimize ingestion processes using APIs, streaming (Kafka), or batch frameworks to ensure performance and idempotency
Collaborate closely with data architects and business analysts to align data pipelines with business logic.
Execute data quality, reconciliation, and audit processes to ensure accuracy and regulatory compliance.
Technical Skills
Proficiency in MongoDB, SQL (Oracle/MySQL/PostgreSQL), and Python/Java/Scala.
Experience with data migration, ETL tools (AWS Glue, Spark), and API-based integration
Familiar with Kafka, Git, Jenkins/CICD, and JSON data modeling.
Robust grasp of data lineage, data quality frameworks, and governance adherence.
Experience:
47 years in data engineering, with at least 2+ years in MongoDB or NoSQL migrations in an enterprise context.
Experience in migration or integration within banking customer systems (CRM/CDM/FCR).

📌 Opening For Data Architect Chennai
🏢 Tekskills
📍 Chennai