Project Role: Azure date engineer
Work Experience: 4 to 8 Years
Work location: Bangalore / Gurugram / Kochi
Work Mode: Hybrid
Must Have Skills: Azure Data engineer, SQL, Spark/Pyspark
Job Overview:
Responsible for the on-time completion of projects or components of large, complex projects for clients in the life sciences field. Identifies and elevates potential recent business prospects and assists in the sales process.
Skills required:
Experience in developing Azure components like Azure data factory, Azure data Bircks, Logic Apps, Functions
Develop effective & smart data pipelines in migrating various sources on to Azure datalake
Proficient in working with Delta Lake, Parquet file formats
Designs, implements, and maintain the CI/CD pipelines, deploy, merge codes
Expert in programming in SQL, Pyspark, Python
Creation of databases on Azure data lake with best data warehousing practises
Build smart metadata databases and solutions, parameterization, configurations
Develop Azure frameworks, develops automated systems for deployment & monitoring




Hands-on experience in continuous delivery and continuous integration of CI/CD pipelines, CI/CD infrastructure and process troubleshooting.
Extensive experience with version control systems like Git and their use in release management, branching, merging, and integration strategies

Essential Functions:
Participates or leads teams in the design, development and delivery of consulting projects or components of larger, complex projects.
Reviews and analyzes client requirements or problems and assists in the development of proposals of cost effective solutions that ensure profitability and high client satisfaction.
Provides direction and guidance to Analysts, Consultants, and where relevant, to Statistical Services assigned to engagement.
Develops detailed documentation and specifications.
Performs qualitative and/or quantitative analyses to assist in the identification of client issues and the devel

📌 Senior Azure Data Engineer Gurugram (India)
🏢 Iqvia
📍 India