01Overview
Data EngineerResponsibilitiesDesign and build ETL pipelines for migration of party and relationship dataImplement data transformations, mapping, and validation aligned with the enterprise data modelDefine 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 idempotencyCollaborate 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 SkillsProficiency in MongoDB, SQL (Oracle/MySQL/PostgreSQL), and Python/Java/Scala.Experience with data migration, ETL tools (AWS Glue, Spark), and API-based integrationFamiliar with Kafka, Git, Jenkins/CICD, and JSON data modeling.Strong 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). .
