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.

VALUABLE TO HAVE :

Fintech/Lending Domain, Snowflake, Python, Make.com/n8n, Loan Lifecycle & AUM Concepts

📌 Data Engineer 2 (Mumbai)
🏢 Kissht
📍 Mumbai