Opening For Data Architect

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.

• 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).