Azure Data Engineer

• 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 No
  
  SQL 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 Data warehouse.
• Expertise with data modeling on Azure SQL database and SQL Data warehouse
• 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