Power BI & Snowflake Developer / Data Analytics Engineer - Developer

NTT DATA North America

Bengaluru Urban

Hybrid

INR 1,200,000 - 1,600,000

Full time

14 days+

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Job summary

NTT DATA North America is seeking an experienced Power BI & Snowflake Expert in Bengaluru. The ideal candidate should have 6-8 years of experience in BI and data analytics, with strong skills in Python for automation and data processing.

Your role will involve designing interactive dashboards, optimizing data models, and extensive use of Snowflake for data warehousing. This is a hybrid position requiring onsite work, and full remote is not an option.

Qualifications

  • 6-8 years of experience in BI, data analytics, or data engineering roles.
  • Deep expertise in data modeling and automation using Python.
  • Strong understanding of BI best practices and data visualization standards.

Responsibilities

  • Design, develop, and maintain interactive dashboards and reports using Power BI.
  • Build and optimize data models, DAX calculations, and measures.
  • Work extensively with Snowflake for data warehousing and performance tuning.
  • Write efficient SQL queries and scripts for data extraction and analysis.
  • Use Python for data processing and automation.

Skills

Power BI Dashboard Development
DAX
Snowflake Data Warehousing
SQL Development
Python Programming

Job description

Req ID: 374078

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
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: 6-8 years of experience in BI, data analytics, or data engineering roles.

General Expectation
  • 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
Equal Employment Opportunity

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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