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BI Developer with Data engineerining- Gurugram Immediate joiner only

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Onsite

BI Developer with Data engineerining- Gurugram Immediate joiner only

Celebal Technologies

BI Developer with Data engineerining- Gurugram Immediate joiner only

Skills

SQL QueriesTableauDatabricksData AnalysisSAP ERPPower BI

22 days ago

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Important information


Contract type:

Permanent

Salary:

₹500,000 – ₹1,400,000 / year

Location:

Gurugram, Haryana, India

Work mode:

Onsite

Published on:

14 October 2026

What they need


Job highlights

  • Experienced in Databricks, Power BI, Tableau with advanced DAX, Power Query, and Tableau LOD skills
  • Design and build enterprise dashboards, optimize Databricks queries, develop financial and operational analytics, and collaborate on data modeling

We are seeking an experienced Data Visualization & BI Developer to transform complex datasets into actionable, high-impact insights. Leveraging Databricks as our core data intelligence platform, you will design, build, and optimize enterprise-grade dashboards in both databricks, Power BI and Tableau. You will play a critical role in standardizing reporting across business functionsparticularly in retail analytics and operations—and driving scalable data-informed decision-making.

Key Responsibilities

  • End-to-End BI Development
  • Design & Build: Create intuitive, interactive, and high-performing dashboards in databricks, Power BI and Tableau that support operational and executive decision-making.
  • Advanced Logic: Develop complex DAX calculations, Power Query (M) transformations, and Tableau Level of Detail (LOD) expressions to build robust semantic models.
  • Financial & Operational Analytics: Translate business requirements into trusted KPIs. Build targeted scorecards and dashboards for critical metrics, tracking items like Accounts Receivable (AR), Accounts Payable (AP), and overall financial health.
  • Databricks & Data Architecture
  • Platform Integration: Connect Power BI and Tableau directly to Databricks clusters and Databricks SQL warehouses.
  • Query Optimization: Optimize pushdown queries for the lakehouse architecture and utilize Delta Sharing for secure, seamless data access without unnecessary duplication.
  • Data Modeling: Collaborate closely with Data Engineers to align transformations between upstream curated layers (e.g., Databricks, SAP source tables) and the BI consumption layer. Establish and maintain scalable star schemas.

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