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Mid-level data role in metro Hyderabad with known firm and generalist requirements, moderate applicant competition.
Requires asset management data knowledge and specific DQ tooling, reducing cross-industry transferability.
Explicit 6+ years requirement plus mandatory DQ, SQL, Python and governance tools creates strict screening.
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Develop and maintain enterprise-wide data quality rules and validations to ensure data integrity, freshness, completeness, and reliability for downstream consumers.
Manage daily data quality monitoring operations including exception handling, root cause analysis, and coordination with technical/business teams to remediate issues without disrupting business processes.
Build and improve data quality frameworks, dashboards, and KPIs that support ongoing data governance, data engineering integration, and continuous operational improvements.
6+ years of experience in data management, data quality, data operations, or monitoring.
Bachelor’s degree in business, engineering, computer science, or related field.
Proficiency with SQL, Python, and data visualization tools like Power BI; experience with data quality/catalog/lineage tools (e.g., Microsoft Purview, Alation) is a plus.
Knowledge of asset management industry and financial data concepts; familiarity with modern data architectures and semantic data models.
Experienced in operating within fast-paced, complex data environments integrating technical and business stakeholder needs for sustained quality and operational excellence.
A strategic collaborator who can lead cross-functional coordination for root cause analysis and data governance improvements across multiple teams.
Proven ability to translate data quality issues into actionable insights and scalable solutions, emphasizing long-term data integrity and operational scalability.