Job Description Role: Azure Data Engineer Location: Princeton, NJ (Onsite) Primary Skill: Azure Data Factory, Azure Data Lake, Azure SQL DW, Azure Synapse Analytics 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 Regards, Manoj Derex Technologies INC Contact : 973-834-5005 Ext 206 Qualifications: Additional Information All your information will be kept confidential according to EEO guidelines. Derex Technologies
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