Role OverviewThe ideal candidate must demonstrate in-depth knowledge and understanding of Database concepts and, experienced in writing SQL and T-SQL. Need to support the applications with 24/7 availability and experience in handling Large Volume of Data, in Oracle and SQL Server, Azure SQL platform.
What You Will Do
Collaborate with internal customers, prospects, and stakeholders, understand, and translates business use cases and/or requirements into data analysis and data mapping and consequently data integration routines which involves moving, cleansing, and transforming large amount of data between multiple systems.
Why It Might Be a Fit
The ideal candidate must have 7+ years of experience in Data Warehousing and Business Intelligence, 5+ Years in BI development leveraging the Microsoft SQL Server, and experience with Source Version Control software like GitHub and CICD pipelines.
Requirements
- 7+ years of experience in Data Warehousing and Business Intelligence
- 5+ Years in BI development leveraging the Microsoft SQL Server
- 5+ Years in SSIS and use of Stored Procedures
- 1-2 Years in Azure Data Factory, SQL VMs, build and maintain ETL
- Ingest and aggregate data from both internal and external data sources to build our data lake
- Strong understanding data modeling (i.e., conceptual, logical, and physical model design, experience with Operation Data Stores, Enterprise Data warehouses and Data Marts)
- Deep understanding of relational database design concepts and SQL programming
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