Job Description

Key Responsibilities:

• 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 ca...

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