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Lead Data Engineer_Power BI _SQL_Databricks

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Lead Data Engineer_Power BI _SQL_Databricks

Crescendo Global Leadership Hiring India

Lead Data Engineer_Power BI _SQL_Databricks

Skills

SQL QueriesData EngineeringDatabricksData AnalysisPower BIAzure

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹3,000,000 – ₹4,500,000 / year

Location:

Gurugram, Haryana, India

Work mode:

Hybrid

Published on:

26 August 2026

What they need


Lead Data Engineer Azure Databricks & Power BI

Experience: 9–15 Years
Location: Gurugram
Work Model: Hybrid / Work from Office
Role: Lead Data Engineer

Role Overview

We are looking for a highly experienced Lead Data Engineer with strong hands-on expertise across SQL, Azure Databricks, and Power BI. The ideal candidate should be equally strong in data engineering and BI/analytics, with the ability to lead technical delivery, design scalable data solutions, and work closely with business stakeholders.

Key Responsibilities

  • Lead the design, development, and implementation of end-to-end data engineering and analytics solutions.
  • Develop scalable data pipelines and transformation frameworks using Azure Databricks.
  • Write complex and optimized SQL queries, stored procedures, data transformations, and performance-tuned solutions.
  • Design and develop Power BI dashboards, reports, semantic models, and data visualizations.
  • Build and optimize data models to support enterprise reporting and analytics.
  • Work extensively with Azure data services and Databricks for ingestion, processing, transformation, and data management.
  • Lead technical discussions, solution design, code reviews, and best-practice implementation.
  • Collaborate with business stakeholders, data architects, analysts, and engineering teams to translate requirements into scalable solutions.
  • Troubleshoot performance, data quality, and pipeline issues and drive continuous optimization.
  • Mentor junior and mid-level data engineers and provide technical leadership.

Must-Have Skills

  • 9–15 years of overall experience in Data Engineering / BI / Analytics.
  • Very strong hands-on expertise in SQL.
  • Very strong experience with Azure Databricks.
  • Very strong Power BI expertise, including dashboard development, data modelling, DAX, and performance optimization.
  • Strong understanding of ETL/ELT, data warehousing, data modelling, and data pipelines.
  • Experience working with Azure data ecosystem.
  • Strong stakeholder management and communication skills.
  • Proven experience in leading technical teams/projects.

Technical Skills

Primary: SQL | Azure Databricks | Power BI
Secondary: Azure Data Services | ETL/ELT | Data Warehousing | Data Modelling | DAX | Data Pipelines | Performance Optimization

Ideal Candidate

The ideal candidate should be equally strong in Data Engineering and Power BI, rather than being primarily a BI developer or purely a data engineer. Strong hands-on technical expertise in SQL + Azure Databricks + Power BI is mandatory.

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