Job Description
- Collaborate with business stakeholders, data architects, and IT teams to gather and understand data migration requirements.
- Analyze legacy banking and insurance systems (e.g., core banking, policy admin, claims, CRM) to identify data structures and dependencies.
- Work with large-scale datasets and understand big data architectures (e.g., Hadoop, Spark, Hive) to support scalable data migration and transformation.
- Perform data profiling, cleansing, and transformation using SQL and ETL tools, with the ability to understand and write complex SQL queries and interpret the logic implemented in ETL workflows.
- Develop and maintain data mapping documents and transformation logic specific to financial and insurance data (e.g., customer KYC, transactions, policies, claims).
- Validate migrated data against business rules, regulatory standards, and reconciliation reports.
- Support UAT by preparing test cases and validating migrated data with busi...
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