Description

  • 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 factor

Key Skills
Education

Any Gradute

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