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Tier-1 brand, mid-level generalist role, metro location, popular BI/data skillset increase competition.
Core data engineering and BI skills are broadly transferable across industries.
Explicit 2+ years requirement plus mandatory Snowflake, Databricks, PySpark and BI tooling.
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Design and implement technical and information architecture for Analytics DataMart and reporting environments focused on Asset and Wealth Management (AWM) line of business.
Develop, deploy, and maintain GenAI-based solutions along with complex queries and end-to-end BI dashboards/reports from large, multi-source datasets.
Collaborate with product owners and technology teams to prioritize activities and enhance BI technologies such as ThoughtSpot, Databricks, and Tableau, while advocating CI/CD workflows.
Bachelor's degree in MIS, Computer Science, Engineering, or equivalent BI development experience.
Minimum 2 years of experience in data engineering and visualization with strong DW/BI foundation.
Strong skills in Python (PySpark/PySQL), SQL; experience building ETL/data pipelines using MS SQL Server, Snowflake, Databricks, and cloud analytics.
Exposure to GenAI prompt/context engineering frameworks and experience with BI tools deployment and query optimization.
Experienced in designing scalable database architectures and handling large, multi-source datasets within financial services or similar domains.
Operationally skilled in end-to-end BI delivery including data modeling, visualization, and automation with familiarity in CI/CD and scheduling tools like Control M.
Capable of working in agile environments coordinating across product and technology teams to improve analytics transformation capabilities.