Celebal Technologies
BI Developer with Data engineerining- Gurugram Immediate joiner only
Skills
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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