Job description

Job Title : Azure Data Engineer with Banking/Finance Domain Exp. Preferred Location : Washington DC (Onsite from day1) Duration : Contract - W2 Role Banking/Finance domain experience preferred. Looking for candidate who can work on W2 only. Job Description: Key Skills: ADF, Pyspark, ADB and good knowledge in Data warehousing skills • In-dept knowledge and hands-on experience in Microsoft Azure data stack i.e. Azure Data Factory, Azure Synapse, Azure SQL Database, etc. • Experience of big data approach, architectural concepts, data sourcing/ ingestion/ curation and storage mechanisms. • Experience with real-time / near-real-time data warehousing concepts and design approaches. • Good understanding of OLTP and OLAP concepts and Strong knowledge on design concepts of Database and Data ware housing systems. • Must have strong development & design skills in SQL and PL/SQL areas in RDBMS environments e.g. MS SQL Server and Oracle 11g/18c/19c. • In-depth knowledge of NoSQL database usage within enterprise context and design/ modeling approach • Building and migrating the complex ETL pipelines from on premise system to cloud database such as Azure SQL Data warehouse, Spark to make the system grow elastically • Provide a high level of ETL technical services and support; is considered an expert in multiple ETL technologies; maps data source to destination • Building and migrating the complex ETL pipelines from on premise system to cloud database such as Azure SQL Data warehouse, Spark • Provide a high level of ETL technical services and support; is considered an expert in multiple ETL technologies; maps data source to destination • Experience building Azure data lake ETL pipelines component such as Azure Data lake Analytics, Azure SQL database and SQL Datawarehouse. • Expertise with data modeling on Azure SQL database and SQL Datawarehouse • Expertise with building Azure data catalogue • Data Integration : Building Pipeline and workflows (ETL) with Azure data factory

Requirements