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

- Strong 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.

- Good 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)
🏢 Acme Services
📍 New Delhi