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Strong Tier-1 brand, popular data role, metro location, and broad required skills increase candidate competition.
Core data engineering skills are transferable, but banking-specific data, risk and regulatory context creates medium sensitivity.
Explicit 7+ years plus mandatory Snowflake, DBT, T-SQL and data lineage skills indicate high shortlisting rigidity.
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Own end-to-end data flow analysis and lineage mapping from data capture to consumption for key products.
Manage relationships and prioritization with multiple stakeholders including platform, credit risk, partnership teams, and technology.
Assess and mitigate data risks, conduct data quality assessments, and contribute to improving data literacy and management frameworks.
7+ years hands-on experience with Data Warehouse/ETL concepts and migration.
Proficient in writing high-quality SQL and stored procedures, specifically T-SQL and Snowflake.
Experience with ELT tool DBT including macro writing and AI agents for efficiency.
B.E./B.Tech or equivalent degree in Computer Applications, IT, or Business Administration.
Experienced in managing complex stakeholder interactions across product, risk, and technology teams producing data-driven insights for banking operations.
Strong analytical mindset with a focus on data risk, quality metrics, and operationalizing data pipelines in an Agile environment.
Technical expertise in SQL, Snowflake, DBT, and familiarity with data visualization tools like Power BI or Tableau with emphasis on code optimization and review.