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Tier-1 brand, metro location, mid-level BI role with broad toolset increases candidate competition.
Core BI and data engineering skills are broadly transferable, though AWM/banking domain knowledge helps.
Explicit 2+ years plus mandatory BI, ETL, Snowflake/Databricks and GenAI exposure yields moderately strict filters.
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Design and architect Analytics DataMart and Reporting Environments for AWM LOB, focusing on data modelling and database design.
Develop, deploy, and maintain GenAI-based BI solutions and complex queries for large datasets to support dashboards and reports.
Coordinate with product owners and technology teams to prioritize activities and implement CI/CD workflows within the Analytics and Transformation environment.
Bachelor's degree in MIS, Computer Science, Engineering, or equivalent BI development experience.
Minimum 2 years experience in data engineering and visualization with strong DW/BI foundation.
Proficient in Python (PySpark/PySQL) and SQL with experience building end-to-end ETL/data pipelines across MS SQL Server, Snowflake, Databricks, and cloud analytics.
Experience working with large, multi-source datasets and delivering scalable database architectures and BI dashboards/reports.
Experienced in BI reporting methodologies, data manipulation, and enterprise data visualization tools like Tableau, ThoughtSpot, and Databricks.
Has worked with GenAI prompt/context engineering frameworks and can communicate analytical insights effectively.
Familiar with agile processes and capable of implementing CI/CD (DevOps) workflows and automated deployments in BI environments.