Job Description:

•  Strong working Knowledge and experience in - Microsoft Azure, Azure Data Factory, Synpase Analytics, Azure SQL, Data Pipelining, Data Transformation, ETL, copy activity, custom Azure development. 
•  Sound skills and hands on experience with Azure Data Lake, SQL Data Warehouse Azure Blob, Azure Storage Explorer 
•  Sound skills and hands on experience with Azure DevOps, CICD Processes, Release Processes 
•  Knowledge of Azure Data Catalog, Event Grid, Service Bus, SQL and Synapse 
• Strong data automation, analytics, and problem-solving experience 
• Experience and skill with data mining methods, data modeling, and working with data warehouses 
•  Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries. 
•  Proven ability to use data, analytics, and business knowledge to solve complex business problems. 
•  Lead complex ETL design, implementation and estimate the required efforts 
• Understanding ETL migration strategies & implementation details between different tools 
• Conduct impact assessment and determine size of effort based on requirements 
•  Contribute and assist Architects in solution design and architecture 
•  Lead a team of developers and guide them technically - 
• Strong communication skills, should be able to work closely with customer driving technical conversations.

Good to have skills:  

• Exposure to other ETL tools like SSIS, Informatica, Ab-Initio. 
• Good technical knowledge in SQL Server BI suite (ETL, Reporting, Analytics, Dashboards) using SSIS, SSAS, SSRS, Power BI -Exposure to ETL services in other cloud platforms -Azure data Engineer certification.

Mandatory skills:

Azure Data Factory,Synapse Analysis,Azure Data Lake,SQL Datawarehouse.

Good to Have:

Azure Devops,Databricks.