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Tier‑1 brand, metro location, and common mid-level data engineer skillset increase applicant competition.
Reference data and regulatory assurance focus moderately restricts cross-industry transferability.
Moderate technical and domain requirements without explicit years make filtering moderately strict.
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Maintain and curate core reference data domains including hierarchies, taxonomies, and Client onboarding & KYC data.
Execute regular data management tasks and remediate data exceptions to ensure data quality and consistency.
Design and enforce data quality rules, manage golden source selection, and support audits and regulatory reviews related to reference data.
Degree required: B.Com, BBA, M.Com, MBA, or B.Tech.
Strong technical skills including SQL, Python, Excel, and BI tools such as Tableau or Power BI.
Work Experience Required: Not explicitly mentioned in the JD.
Experience in data operations, business analysis, and data governance.
Familiar with internal audit and control testing processes in risk and compliance contexts.
Capable of managing stakeholder communication and documentation effectively.
Comfortable working in a fast-paced environment with strong analytical and problem-solving focus.