Posted:2 weeks ago|
Platform:
Hybrid
Full Time
- 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.
- 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.
- Strong grasp of data lineage, data quality frameworks, and governance adherence.
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