Technical Experience:
 Strong understanding and experience of Microsoft Azure, Azure Storage(Blob, Queue, Table), Serverless
(Functions, Apps), Containers Databases (SQL, Cosmos)
 Experience with agile software development frameworks and methods e.g. SCRUM
 Hands-on experience Architecting and delivering solutions using the Azure Data Analytics platform
including Azure Databricks, Azure Cosmos DB, Azure Data Factory, Azure Logic Apps, Azure Functions, Azure
Storage, Azure SQL Data Warehouse, Azure Data Lake, Azure Search
 Experience designing and implementing machine learning solutions as part of high volume data ingestion
and transformation pipelines
 Recent experience with Open Source technologies such as Apache Spark, Hadoop, NoSQL, Kafka, Elastic
Search
 Experience with best practice design principles and approaches for a range of application styles and
technologies to help guide and steer decisions.
 Experience on application life cycle management with Azure DevOps

Roles & Responsibilities
 Ensure that system designs adhere to solution architecture design (i.e. high level conceptual design) and
are traceable to functional as well as non-functional requirements in projects/improvements.
 Be an integral part of large scale client business development and delivery engagements
 Contribute to building the Azure practice within DataTech by
 Develop the software and systems needed for end-to-end execution on large projects
 Work across all phases of SDLC, and use Software Engineering principles to build scaled solutions
Build the knowledge base required to deliver increasingly complex technology projects

Desired Candidate Profile:
 Expert level knowledge on Azure Stack.
 Strong experience in Azure ecosystem such as Azure Data Factory (ADF), Azure Data Lake, Data Bricks
 Expert level knowledge of SQL DB & Datawarehouse
 Should be able to analyze and understand complex data
 Knowledge of other Azure Services like Analysis Service, SQL Databases will be an added advantage
 Hands on experience in one or more ETL (Azure Data Factory.) and BI (Power BI, Tableau etc.) tools.