Tags: Azure, Data Engineer
Role Title: Azure Data Analyst
Employer: Leading Professional Services Firm
Required Experience: 6–8 Years
Location: Gurugram
Date published: 9 October 2026
A Leading Professional Services Firm is seeking an analytical Azure Data Analyst to build enterprise data platforms and modern data pipelines.
The Azure Data Analyst must combine hands-on data engineering capabilities in the Microsoft Azure stack with advanced querying and large-scale data transformation expertise.
Key Responsibilities
- Design, engineer, and optimize scalable data ingestion, transformation, and migration pipelines on Microsoft Azure.
- Analyze and synthesize structured and semi-structured datasets sourced from complex, distributed business applications.
- Perform comprehensive data profiling, cleaning, and extraction workflows to ensure exceptional data quality.
- Build and maintain analytical models using modern tools across Azure Databricks, Microsoft Fabric, and SQL databases.
- Architect data integration layers to streamline business reporting and downstream dashboard applications.
- Troubleshoot data workflow exceptions, debug performance bottlenecks, and refine data pipelines in Agile delivery squads.
- Maintain detailed technical specifications, architecture diagrams, and operational data dictionaries.
- Collaborate actively with onsite teams, cloud architects, and business stakeholders across global offshore engagements.
Requirements and Qualifications
- BE / B.Tech or equivalent professional degree in Computer Science, Information Technology, or Engineering.
- 6-8 Years of total IT experience, with more than 3+ years of dedicated, recent work experience in data engineering and analytics.
- Hands-on technical proficiency with the Microsoft Azure data ecosystem, specifically Azure Databricks, Fabric, and SQL.
- Proven track record executing end-to-end data cleaning, extraction, migration, and integration solutions.
- Beneficial credentials: Azure and Fabric certifications such as DP-600, DP-700, DP-203, or DP-080.