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Tier-1 brand, metro location, common senior data engineer title and broad skills increase applicant competition.
Medium because core data engineering skills transfer, but banking risk/stress-testing domain increases domain specificity.
Medium due to required production-grade data engineering skills but no explicit years or mandatory certifications.
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Build and maintain data pipelines, data warehouses, and data lakes ensuring data accuracy, accessibility, and security.
Design and implement processing and analysis algorithms suitable for data complexity and volume.
Collaborate with data scientists to build and deploy machine learning models; provide advice to influence decision making and improve operational effectiveness.
Strong database and data engineering skills including complex SQL, schema changes, and data validation.
Experience with stress testing/risk platforms including model, moniker, input/output tables knowledge.
Experience with production deployment and support across DEV, UAT, and PROD environments.
Location requirement: Role is based in Chennai. Work Experience Required: Not explicitly mentioned in the JD.
Familiarity with both AWS and on-premises environments, indicating hybrid infrastructure experience.
Proven ability to coordinate cross-functionally with quants, CoE, DevOps, and finance teams for delivering business-aligned solutions.
Experience leading or mentoring junior team members and effectively communicating complex information to influence stakeholders.