Skillset and Experience + Overall, 3-5 years of skills with Data Migration and Azure Cloud Data Migration and Data Warehousing related projects. + Experience in developing and maintaining modern ingestion pipeline using technologies like (Azure Data Factory, SSIS, Spark etc) + Experience with Insurance Domain + Strong experience in design and configuration of data movement and transformation (ETL) technologies such as Azure Data Factory + Hands on experience on Azure Cloud and its Native components like Azure Data bricks + Strong experience in Data storage technologies such as Azure SQL DW, Azure Data Lake + Strong experience in analytics solutions using Databricks, Azure Synapse Analytics + String experience in coding with languages like SQL, Pl/SQL + Good-to-have Azure certification + Good experience in Requirements gathering, Design & Development + Working with cross-functional teams to meet strategic goals. + Experience in high volume data environments + Critical thinking and excellent verbal and written communication skills + Strong problem solving and analytical abilities, should be able to work and delivery individually + Good knowledge of data warehousing concepts + Good communication skills + Worked in agile methodologies and waterfall execution models + Must have excellent oral and written communication with need to interact clients directly + Must be both individual contributor, good team player and self-motivated to take on challenges Roles and Responsibilities + Provide technical and development support to client to build and maintain data pipeline + Develop data mapping documents listing business and transformational rules + Develop, unit test, deploy and maintain data pipelines + Analyse source specifications and build data mapping documents + Identify and document applicable non-functional requirements + Understand profiling results and validate data quality rules + Utilize data analysis tools to construct and manipulate datasets to support analyses + Collaborate with and support Quality Assurance (QA) in building functional scenarios and validating results