About this opportunity
TechDigital Group lists this Azure Data Engineer opportunity in washington, District of Columbia. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Azure Data Engineer Developer
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
Key Skills: ADF, Pyspark, ADB and good knowledge in Data warehousing skills
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Worksite address
washington, DC, 20022, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.