Senior Business Intelligence Developer

Lakshya Software Technologies Pvt. Ltd.

Pune District

On-site

INR 800,000 - 1,200,000

Full time

14 days+

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Job summary

A technology consulting firm in Pune is seeking a Business Intelligence Developer skilled in Power BI with at least 5 years of experience in analytics and data warehousing. The role requires solid knowledge in data modeling, SQL, and effective communication skills. A full-time position offering opportunities to work with various data warehousing concepts and advanced reporting techniques. Ideal for mid-senior level professionals looking to advance their careers in IT services.

Qualifications

  • At least 5 years of relevant experience in Power BI, analytics and data warehousing concepts.
  • Strong understanding of data modeling and data warehousing principles.
  • Ability to write SQL queries and optimize performance.

Skills

Power BI
Data Warehousing
SQL
Data Modeling
Communication Skills

Education

Engineering degree

Job description

Business Intelligence Developer – Power BI

We’re looking for an experienced BI developer with strong Power BI, analytics and data‑warehousing skills.

Qualifications & Experience
  • At least 5 years of relevant experience in Power BI, analytics and data‑warehousing concepts.
  • Educational Background – Engineering degree.
  • Communication Skills – 4/5 – Clear, confident and professional, able to explain technical concepts.
  • Power BI – 4/5 – Hands‑on experience with:
    - Data modeling and relationships
    - DAX fundamentals and measures
    - Report and dashboard development
    - Performance optimization basics
  • Data Warehousing Concepts – 4/5 – Strong understanding of core principles:
    - Slowly Changing Dimensions (SCD)
    - Star Schema and Snowflake Schema
    - Role‑Playing Dimensions
    - Fact Tables and Factless Fact Tables, Confirmed Dimension, etc.
  • Data Modeling – 4/5 – Solid knowledge of concepts such as:
    - Cardinality and relationship types
    - Conceptual, Logical and Physical Data Models
    - Differences between Databases and Data Warehouses
    - Natural Keys vs Surrogate Keys
  • Power BI Fabric – 2/5 – Basic or theoretical understanding is sufficient.
  • Hands‑on project experience is not mandatory.
  • Database / SQL Knowledge – 4/5 – Ability to write stored procedures, create views, and apply query optimization techniques.
Data Modeling Exposure
  • Have you designed data models yourself or worked with existing ones?
  • Do you understand different types of data models (conceptual, logical, physical)?
  • Have you handled relationships between multiple tables?
Data Warehousing Concepts
  • Have you worked with a data warehouse? If yes, in what capacity?
  • Are you familiar with concepts like Star Schema or Slowly Changing Dimensions?
  • In your projects, did you work with fact and dimension tables?
Power BI Fabric (Optional / Nice to Have)
  • Have you heard about Power BI Fabric?
  • Have you used it in any project or only learned it conceptually?
Seniority Level
  • Mid‑Senior level
Employment Type
  • Full‑time
Job Function
  • Information Technology and Consulting
  • Industries: IT Services and IT Consulting

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