Power BI & Snowflake Developer / Data Analytics Engineer - Developer

Req ID: phone_number

Role Summary

We are looking for an experienced Power BI Snowflake Expert with strong hands-on experience in Python to design, develop, and deliver scalable data analytics and business intelligence solutions. The ideal candidate will have deep expertise in data modeling, dashboard development, Snowflake data warehousing, and automation using Python.

Key Responsibilities

• Design, develop, and maintain interactive dashboards and reports using Power BI.
• Build and optimize data models, DAX calculations, measures, and Power Query transformations.
• Work extensively with Snowflake for data warehousing, data modeling, performance tuning, and query optimization.
• Write efficient SQL queries, stored procedures, and scripts for data extraction, transformation, and analysis.
• Use Python for data processing, automation, validation, and analytics use cases.

Required Skills

• 3 to 5 years of experience in BI, data analytics, or data engineering roles.
• Power BI: Dashboard and report development
• DAX
• Power Query
• Data modeling
• Performance optimization
• Snowflake: Data warehousing concepts
• SQL development
• Query optimization
• Schema design
• Snowflake objects such as databases, schemas, tables, views, stages, tasks, streams, and stored procedures
• Python: Data manipulation
• Automation
• Scripting
• Data validation
• Good understanding of BI best practices, data visualization standards, and dashboard usability.
• Strong communication and stakeholder management skills.

Minimum Experience

4-5yrs

General Expectations

• Must have Good Communication
• Must be ready to work in 10:30 AM to 8:30 PM Shift
• Flexible to work in Client Location EGL/Manyata, Bangalore
• Must be ready to work from office in a Hybrid work environment. Full Remote work is not an option
• Expect Full Return to office in 2026

Pre-Requisites

1. Must have Genuine and Digitally signed Form16 for ALL employments
2. All employment history/details must be present in UAN/PPF statements
3. Candidate must be screened using Video and ensure he/she is genuine and have proper work setup
4. Candidates must have real work experience on mandatory skills mentioned in JD
5. Profiles must have the companies which they are having payroll with and not the client names as their employers
6. As these are competitive positions and client will not wait for 60 days and carry the risks of drop-out, candidates must have 0 to 3 weeks of Notice Period
7. Candidates must be screened for any gaps after education and during employment for genuineness of the reasons