





Mid-level generalist data role in Bangalore with broad skillset requirements increases competition.
Core data engineering skills are transferable, though banking domain knowledge is moderately important.
Explicit 5-7 years plus mandatory Snowflake/DBT/T-SQL skills impose high strictness.
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Own end-to-end data flow analysis and data lineage documentation for products involving multiple cross-functional teams.
Manage stakeholder relationships independently and prioritize data management tasks with Product Owners ensuring data risk assessments and quality metrics are delivered.
Contribute to improving data literacy and data quality frameworks through risk assessment, metadata capture, and defining data quality thresholds.
5-7 years hands-on experience with Data Warehouse/ETL concepts.
Proficient in writing high quality T-SQL and Snowflake stored procedures.
Experience with ELT tools like DBT and reporting tools such as SSRS or equivalent.
Bachelor's degree in Engineering (B.E. or B.Tech) or postgraduate degree in Computer Applications, IT, or Business Administration.
Experienced in managing large-scale data quality and data management initiatives within financial or banking operations contexts.
Comfortable working independently with multiple stakeholders and handling escalations efficiently.
Familiar with Agile environments and able to translate technical data needs into non-technical business terms.