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Tier-1 bank, metro location, popular mid-level data role, broad technical requirements increase competition.
Core data engineering skills are transferable, though banking risk and compliance raise domain specificity.
Explicit 7+ years and required Snowflake/dbt/SQL skills create high shortlisting strictness.
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Lead end-to-end data flow analysis and lineage mapping for product data.
Manage stakeholder relationships and coordinate prioritization with product owners.
Assess data risks, implement data quality measurements, and improve data literacy across teams.
7+ years hands-on experience with Data Warehouse, ETL, and migration processes.
Strong expertise in SQL (T-SQL, Snowflake stored procedures), ELT tools like DBT, and data visualization tools (SSRS, PowerBI, Tableau).
Bachelor's degree in Engineering (B.E./B.Tech.) or equivalent; postgraduate degree in Computer Applications, IT, or Business Administration accepted.
Experience with CI/CD pipelines and performance tuning for data processing; Agile environment experience desirable.
Experienced in complex data architecture including data sourcing and strategic data management in financial or banking contexts.
Ability to independently manage cross-functional stakeholder engagement with strong communication and analytical skills.
Proficient in implementing data risk controls and quality frameworks to support business-critical data use cases.