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).

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