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