Roles and Responsibilities

- Good Knowledge with Azure PAAS service

- Work as part of a team to develop Cloud Data and Analytics solutions.

- Participate in the development of cloud data warehouses, data as a service, business intelligence solutions.

- Ability to provide solutions that are forward-thinking in data and analytics.

- Deliver a quality product.

- Coding complex U-SQL, Spark (Scala or Python), T-SQL.

- Strong Knowledge with Azure Integration services as Logic Apps, Data factory, SQL database, functions etc.

- Developing Modern Data Warehouse solutions using Azure Stack (Azure Data Lake, Azure Data Factory, Azure Databricks)

- Expertise in Any ETL tool i.e. (SSIS, Informatica, Data Stage)

- Expertise to Implementing Data warehousing Solutions.

- Experience as a Data Engineer in Azure Big Data Environment.

- Programming experience in Scala or Python, SQL.

- Hands-on experience in Azure stack (Azure Data Lake, Azure Data Factory, Azure Databricks) -- Mandatory.

- Good understanding of other Azure services like Azure Data Lake Analytics & U-SQL, Azure SQL DW.