We need to Strong Snowflake Data Engineer ( Lead Data Engineer) with below key skills. Key Skills : Snowflake, DBT, Strong SQL and Python Minimum Qualifications • 10+ years end-to-end data engineering experience, 3+ years Snowflake (enterprise scale). • 4+ dbt projects in production (or 3 if each >12 months, multi-domain). • Advanced SQL (analytic functions, dynamic pivots, query-profile debugging). • Working Python (Snowpark, pandas) for ELT helpers and test harnesses. • Proven delivery of executive-grade financial dashboards or data marts—must demonstrate understanding of eliminations, inter-company balances, multi-GAAP roll-ups. • CI/CD with Git, dbt Cloud/CLI, and at least one orchestrator (Airflow, Prefect, Dagster). • Cloud experience (AWS preferred: S3, IAM, Glue, Lambda or Step Functions). • Strong communication skills: can brief non-technical finance leaders yet dive deep with architects. • Bachelor's degree in Computer Science, Information Systems, Engineering, or Finance/Accounting; MS or MBA a plus. Preferred / Nice-to-Have • Snowflake Snowpipe, Stream-&-Task, Dynamic Tables. • Experience integrating SAP, Oracle E-Biz, or Workday Financials. • Exposure to BI tools (Power BI, Tableau) and semantic layers (Cube, ThoughtSpot).