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High due to Tier-1 brand, popular data-engineer role, metro location, and broad required skillset.
Medium because core data engineering skills transfer across industries, though banking risk controls add domain specificity.
Medium because senior/AVP expectations and mandatory Snowflake/DBT/AWS skills but no explicit years requirement.
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Build and maintain data architectures, pipelines, data warehouses, and data lakes ensuring data accuracy, accessibility, and security.
Design and implement data processing and analysis algorithms handling complex data volumes, collaborating with data scientists to deploy machine learning models.
Lead or influence decision-making related to policy, operational effectiveness, risk management, and governance across business functions.
Experience with Snowflake, SQL, DBT, Python, and basic AWS is mandatory.
Work location: Pune, India (onsite requirement).
Work Experience Required: Not explicitly mentioned in the JD.
Ability to manage risk, strengthen controls, and provide complex data analysis for finance-related projects.
Experienced in developing and maintaining end-to-end AWS data engineering solutions in a finance or risk management environment.
Capable of leading teams or assignments, influencing stakeholders, and contributing to policy development.
Comfortable working in a complex, cross-functional environment requiring collaboration with data scientists and other business areas.