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Job Description
Structured overview of role & requirementsAbout This Role
Translate business requirements from Finance, Risk, and Regulatory teams into scalable data mart designs for banking data domains.
Design and develop subject-oriented dimensional data marts and data models optimized for regulatory reporting and analytics.
Ensure data quality, reconciliation, lineage, and governance compliance across enterprise platforms like Oracle and Netezza, including testing and validation for data mart releases.
Minimum Requirements
5–8 years of experience in banking data, data warehousing, or data engineering roles.
Bachelor’s degree in Computer Science, Information Technology, Finance, or related field.
Strong expertise in SQL, data warehousing/data mart design (star/snowflake schema), and ETL/ELT tools (e.g., Informatica).
Experience with enterprise databases such as Oracle or Netezza and familiarity with data reconciliation, control totals, and validation processes.
Ideal Candidate Profile
Experience working closely with Finance, Risk, and Regulatory stakeholders to translate and implement business requirements into technical solutions.
Proven ability to manage data lineage, governance, and regulatory standards compliance (e.g., BCBS 239, SOX).
Operational expertise in agile delivery cycles including sprint planning, UAT, defect management, and interfacing between business and technical teams.