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Mid-level Data Engineer in metro locations with common title but niche finance and Snowflake/dbt specialization reduces applicant density.
Strong finance-specific data product and CFO-domain requirements limit transferability across industries.
Explicit 3–5 years requirement plus multiple required Snowflake/dbt/Databricks and finance-data skills makes filtering moderately strict.
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Design and implement complex data warehouse and data mesh solutions using star schema, facts, and dimensions technologies such as Snowflake, dbt, and Databricks.
Develop reusable, governed, and audit-ready financial data products and manage financial data effectively.
Create advanced Business Intelligence solutions with strong narrative and analytics storytelling leveraging Power BI, Looker, Tableau, and Agentic AI for data analytics.
3-5 years of experience as a Senior Developer with focus on data engineering.
Strong expertise in financial data management and analytics catering to finance, accounting, FP&A, and controller functions.
Experience with data warehouse technologies (e.g., Snowflake, dbt, Databricks) and Business Intelligence tools (Power BI, Looker, Tableau).
Location: Hybrid work model in Pune, Bangalore, Mumbai, or Delhi (NCR); Shift timing 3PM-11:30PM IST.
Experienced with financial data analytics specifically for the Office of the CFO and related finance functions.
Skilled in implementing governed, reusable, and audit-ready finance data products in a professional services environment.
Able to leverage advanced AI-powered analytics tools such as Snowflake Cortex AI and Power BI Semantic layer for enhanced data storytelling and insights.