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Tier-1 employer, mid-level generalist data role in Hyderabad with common skills and high applicant density.
Requires investment/finance domain expertise and governance experience, limiting cross-industry transferability.
Explicit 5–8 years requirement, mandatory SQL/Python, finance domain knowledge, and tool experience.
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Lead definition and execution of CIM Data Governance roadmap focusing on data standardization, quality, and scalable investment data assets.
Own end-to-end delivery of financial data solutions including profiling, transformation (SQL/Python), prototyping (Fabric, Databricks, Denodo), modeling, validation, and documentation for enterprise-scale deployment.
Collaborate cross-functionally with technology and investment teams to ensure alignment, maintain data quality standards, and modernize reporting and analytics across Finance.
5-8 years experience in Finance/Investment data, analytics engineering, BI, or data strategy.
Strong SQL skills and hands-on experience with data transformations; experience designing data models and semantic layers.
Understanding of Investment/Finance processes such as GL, FPA, cost allocations, forecasting.
Location: Hyderabad, India (Hybrid); Familiarity with Fabric, Databricks, Denodo, and Power BI preferred but not explicitly mandatory.
Experienced in leading or delivering complex financial data programs with strategic and technical ownership.
Able to bridge business and technology by translating investment data needs into scalable, governed data products.
Operates effectively in cross-functional, matrix environments working closely with investment professionals and technical teams.