Azure Data Engineer

Skills: Azure Databricks / Azure Data Factory

Experience: 4 to 12 Years

Data Engineer with Pyspark, Databricks skillset 5+ years of experience Data Engineering with min 3+ years hands on experience in Pyspark for data transformations
Sound knowledge in Data Bricks & Logic Apps
Delta Lake, Azure SQL and Azure blob storage, Azure logic apps, Azure Functions and Azure Synapse, Azure Purview.
Extensive knowledge on big data concepts like Hive, and spark framework.
Should be able to write complex SQL queries. Sound understanding of DWH concepts.
Strong hands-on experience on Python or Scala.
Hands on experience on Azure Data Factory.
Should be able to coordinate independently with business stake holders and understand the business requirements.
Knowledge on DevOps and Agile methodologies-based projects, implement the requirements using ADF/Data Brick
Knowledge of version control tool such as Git/Bitbucket.

Should have basic understanding on Batch Account configuration, various control and monitoring options.

Interested resources please share your updated profile to [email protected]

Essential Qualifications:

Bachelor's degree (BE, BTech) in Computer Science, or Engineering OR equivalent experience and knowledge required.
Good mentoring skills and enablement through thought leadership.