Data Engineer 2

Kissht; Mumbai; Hybrid; INR 1,500,000 - 2,200,000; Full time

Job summary

Kissht in Mumbai is seeking a Data Engineer - II to design and scale data pipelines powering decision-making across the business. You will work with Snowflake-based warehouses, craft dashboards in Tableau, and integrate AI copilots into daily workflows.

You should write clean SQL, tackle complex data issues, and partner with CXO stakeholders to translate needs into data requirements. This role offers growth in fintech data and a chance to shape reporting standards.

Qualifications

• Advanced SQL with complex joins, window functions, and optimization.
• Tableau dashboarding with calculated fields and LOD expressions.
• AI-first mindset using LLM copilots for coding and debugging.
• Strong communication to explain technical tradeoffs to non-technical stakeholders.

Responsibilities

• Design, build, and maintain SQL data pipelines and views for reporting.
• Build Tableau dashboards for sales, risk, and leadership.
• Translate ambiguous asks into clear data requirements with stakeholders.
• Debug complex data issues with root-cause analysis.
• Leverage AI tools to speed up queries and documentation.
• Maintain data quality and document limitations.
• Contribute to knowledge base of certified views and reporting standards.

Skills

SQL

Tableau

Logical reasoning

AI-first mindset

Communication

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