Job highlights
Knowledge in setting up data lake and data factory solutions .
Experience in implementation and migration of data solutions to Azure cloud
Technical stack required: Azure DW,Azure Data Lake,Azure data factory,Azure DW,PySpark and USQL.

Nice to have: -Implementation and migration experience in Hadoop ecosystem such as Spark,Python,HDFS and Machine learning

Knowledge in setting up data lake and data factory solutions
Experience in implementation and migration of data solutions to Azure cloud
Solid U-SQL and Stored procedure skills, working knowledge in SSIS, SSAS, SSRS
Hands on experience on SQL performance and tuning
Should have development testing and deployment knowledge and best practice and coding standards.
Ability to understand the overall solution and design components to fit the overall solution.




Ability to take technical decisions and support the decisions with justifications.
Ability to work in an Agile manner.
Ability to work independently without much guidance.
Self-Motivated, team player, results oriented, solid Time Management skills.
Excellent presentation, written and verbal communication skills required.
Valuable team player with interpersonal skills
Excellent Communication skills

Technical stack required

Azure DW, Azure Data Lake, Azure data factory, Azure DW, PySpark and USQL.

Nice to have

-Implementation and migration experience in Hadoop ecosystem such as Spark, Python, HDFS and Machine learning

📌 Azure Data Engineer New Delhi (India)
🏢 Acme Services
📍 India