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Strong brand, metro location, mid-level generalist ETL/data role with broad skill requirements.
ETL and SQL skills are transferable, but financial services implementation context adds moderate domain specificity.
Explicit 5–7 years plus mandatory ETL, SQL, MS SQL, and leadership requirements make filtering strict.
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Lead data-related activities for project delivery including data analysis, ETL script development, data mapping, and quality testing within Wealth Operations.
Manage and mentor a team of data analysts, coordinating onshore and offshore specialists to ensure high-quality data delivery and adherence to data governance best practices.
Engage with key stakeholders to understand requirements, estimate work, manage scope, and champion AI adoption and automation in data processes.
5-7 years of experience in data roles.
Advanced skills in data analysis, ETL development, SQL querying (T-SQL), MS SQL Server management, and data reconciliation.
Experience with project management methodologies including Waterfall, Agile, and V-Model.
Role based in Gurgaon (GGN) with hybrid work model requiring minimum three days/week onsite.
Experienced in leading data teams combining onshore and offshore resources within complex project environments.
Strong communicator capable of interacting effectively with both technical and non-technical stakeholders.
Demonstrated ability to deliver data solutions in financial services or related industries with a focus on data governance, risk management, and AI-enabled automation.