Job Title: Database Developer
Location: Atlanta GA
Duration: 12 Months
Job Description:
Supervises the coordination of design and security for computer databases to store track and maintain a large volume of critical business information.
Responsibilities:
- 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.
- Identifies data sources provides data flow diagrams and documents source to target mapping and process.
- Collaborate with the Data Architect to recommend optimal data models for data ingestion and BI developer for analytic reports
- Design implement and maintain database objects (tables views indexes etc.) and database security.
- Work with the Data Architect to establish processes for governing the identification collection and use of educational metadata to assure metadata is accurate and valid in the business intelligence environments.
- Experience with Source Version Control software like GitHub and CICD pipelines
- Provide on-call support after hours as an when needed.
Requirements:
- 5 years of experience in Data Warehousing and Business Intelligence
- 3 Years in BI development leveraging the Microsoft SQL Server. Needs to be an expert in T-SQL
- 5 Years in SSIS and use of Stored Procedures.
- 2 Years of experience in PowerBI.
- Ingest and aggregate data from both internal and external data sources to build our data warehouse.
- 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.
- Bachelors degree preference in computer/information sciences or business/commerce.
- Good to have:
- 1-2 Years in Azure Data Warehouse (Synapse)
- Recommended 1-2 Years in Azure Data Factory SQL VMs build and maintain ETL and Data Lake.