Data Engineer / BI Developer - Tableau + Snowflake

Data Engineer / BI Developer Tableau + Snowflake

Position: Data Engineer (T) / Data Engineer BI Developer
Experience: 6+ Years
Location: Bangalore Only
Work Mode: In-Person / WFO
Interview: In-Person Interview – Mandatory
Weekend Drive: Saturday, 26 September 2026

Candidate need to be strong in this experiences

• Snowflake – Time Travel, Snowpipe, Streams & Cloning
• Tableau – Dashboards, Reports, Filters, Live & Extract
• Strong SQL / SQL Query Writing

Job Summary

We are looking for experienced Data Engineers / BI Developers with strong hands-on expertise in Snowflake, SQL, and Tableau.

The ideal candidate should have experience in data warehousing, data pipelines, ETL/ELT, SQL development, Snowflake, and Tableau reporting/visualization.

Mandatory Technical Skills

Snowflake

• Snowflake Development
• Time Travel
• Snowpipe
• Streams
• Cloning
• Data Warehousing
• ETL/ELT
• Data Modeling

Tableau

• Tableau Desktop
• Tableau Server
• Dashboards & Reports
• Filters
• Live Connections & Extracts
• Data Visualization

SQL

• Strong SQL development
• Complex SQL query writing
• Joins, CTEs, Subqueries
• Window Functions
• Query Optimization & Performance Tuning

Key Responsibilities

• Design and develop scalable data pipelines and ETL/ELT processes.
• Build and optimize data models for analytics and reporting.
• Develop complex SQL queries for data extraction, transformation and analysis.
• Develop and maintain Tableau dashboards and reports based on business requirements.
• Create calculated fields, filters, parameters and visualizations in Tableau.
• Troubleshoot data, SQL, Snowflake and Tableau-related issues.
• Perform data validation, transformation and reconciliation.
• Optimize data processing and query performance.
• Collaborate with business, BI and technical teams to understand and deliver reporting requirements.
• Support production issues and ensure timely resolution.

Good to Have

• Python
• Experience with any ETL tool
• Additional cloud/data engineering experience
• Experience with large-scale data pipelines