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High - Tier-1 employer, metro location, mid-level generalist data platform role with broad skill requirements.
Medium - core data platform skills transferable, but banking governance and controls increase domain specificity.
Medium - strong technical data and cloud skills required but no explicit years or certifications stated.
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Build and maintain data architectures including pipelines, data warehouses, and lakes ensuring data accuracy, accessibility, and security.
Design and implement data processing algorithms and collaborate with data scientists to build and deploy machine learning models.
Lead and supervise a team, managing operational processing, risk, and embedding new policies in line with regulations.
Expert understanding of data lake and data warehouse technologies.
Broad knowledge of public cloud services, specifically AWS and related data management tools (Alation, Databricks, DBT, Snowflake).
Work Experience Required: Not explicitly mentioned in the JD.
Role location is Bengaluru; must be willing to work onsite.
Experienced in end-to-end data platform engineering with a strong technical foundation in cloud data architectures.
Capable of leading teams and coordinating across cross-functional stakeholders including senior colleagues.
Proficient in implementing security and governance best practices in data environments and influencing decision making in own area of expertise.