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Tier-1 bank, Mumbai metro, and generalist mid-level data engineering skills increase applicant competition.
Role requires financial-services regulatory controls experience and data governance expertise, limiting cross-industry transferability.
Mandated Dataiku proficiency, regulatory control experience, and SDLC/compliance requirements create strict shortlisting filters.
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Design, build, and maintain Legal's data quality infrastructure supporting regulatory reporting, governance, analytics, and AI enablement.
Develop and enhance data quality pipelines and dashboards using Dataiku, Python, and related technologies, ensuring compliance with Citi policies including EUC/ITESS requirements.
Lead integration of Legal's data quality platform with enterprise tooling and drive continuous improvement in monitoring, exception management, and SDLC modernization.
Strong proficiency with Dataiku including visual and code recipes, model deployment, orchestration, and Webapps.
Experience with Python for data pipelines, API integrations, automation, and dashboard backend.
Bachelor's degree required; Master's preferred in Computer Science, Data Engineering, Information Systems, or related technical field.
Work Experience Required: Relevant experience in data engineering, data quality, or analytics engineering roles; financial services or regulated environment experience strongly preferred.
Experienced in building scalable, environment-agnostic SDLC operations and automation frameworks in data quality contexts.
Skilled in translating complex data quality rules and compliance requirements (EUC/ITESS) into automated, compliant solutions within a regulated financial services environment.
Effective technical communicator able to collaborate with cross-functional teams across Legal, Technology, Data Risk & Controls, and Reporting stakeholders.