Data Engineer 2

Job description

**ABOUT THE ROLE:** We're looking for a Data Engineer - II to build and scale data pipelines and reporting infrastructure that power decision-making across the business. You'll work closely with Snowflake-based data warehouses, craft high-impact dashboards, and increasingly leverage AI tools to accelerate development and analysis. This role suits someone who thinks in systems, writes clean SQL, and treats AI copilots as a core part of the workflow not an afterthought. **WHAT YOU'LL DO:** - Design, build, and maintain SQL-based data pipelines and certified views for business reporting. - Build and maintain Tableau dashboards for stakeholders across sales, risk, and leadership. - Partner with business/CXO stakeholders to translate ambiguous asks into clear data requirements. - Debug complex data issues (join logic, type mismatches, stale sources) with strong root-cause rigor. - Use AI tools (Claude, Copilot, etc.) actively to speed up query writing, debugging, and documentation. - Maintain data quality standards flag unreliable sources, document known limitations. - Contribute to a growing knowledge base of certified views and reporting standards. **MUST-HAVE SKILLS :** **SQL:** Advanced complex joins, window functions, CTEs, query optimization, debugging production queries **Tableau:** Strong hands-on dashboarding calculated fields, LOD expressions, performance tuning. **Logical reasoning & problem-solving:** Able to trace a wrong number back to a root cause (bad join, wrong grain, stale table) methodically **AI-first mindset:** Comfortable using LLMs/AI coding assistants daily to write, debug, and validate code faster. **Communication:** Can explain technical tradeoffs to non-technical stakeholders clearly and concisely. **GOOD TO HAVE :** Fintech/Lending Domain, Snowflake, Python, Make.com/n8n, Loan Lifecycle & AUM Concepts