Sr. Azure Data Warehouse Developer

Azure Data Warehouse Developer

• Minimum 7 to 8 years of experience in Data Applications with 3+ years experience in Architecture, and design experience with Microsoft Azure
• Must have working experience in large MS Azure cloud migrations
• Good Communication skills
• Excellent client Liaising skills
• Experience in designing cloud data architecture, designing large scale environments with Windows
• 5-7 Years of experience architecting and building Data Warehouse Solutions, specifically Azure Data Analytics technologies and architecture is desired, Enterprise Analytics Solutions, and Power BI Solutions
• 3 years of experience working with teams, Architects, Technology professionals
• Advanced hands-on SQL and Azure DevOps knowledge and experience working with relational databases for data querying and retrieval.
• Experience with Design and Architecture of Azure data frameworks/tools: Azure Data Lake, Azure Data Factory, Azure Data Bricks, Azure ML, SQL Data Warehouse.
• Experience with Design and Architecture of relational SQL databases, including MS SQL Server
• Experience with Design and Architecture of data security and Azure security
• Leading development of Azure Data Solutions from scratch
• Experience with Azure DevOps/CI-CD, Continuous integration, and deployment

 Roles and Responsibilities:

• Define how the data will be stored, consumed, integrated, and managed by different data entities and IT systems, as well as any applications using or processing that data
• Document data sources, data structures, data flows, and data infrastructure throughout the organization
• Support the planning, scheduling, and completion of data archiving jobs and meet business needs
• Performing necessary configurations, writing detailed specifications for the development of custom programs, testing and implementing the automated solutions
• Collaborate with internal customers to elicit their business concerns and translate them into system development requirements
• Oversee programs to cleanse, consolidate, and correlate structured, semi-structured and unstructured data
• Participate in planning initiatives, feasibility studies, cost/benefit analyses, new systems design, and implementation timelines
• Participate in planning initiatives for system testing and configuration
• Setting standards for data use and managing standards for metadata, Master data, Reference data, and naming standards

 Delivery Skills:

• Azure Architecture Knowledge,
• Databricks,
• Azure Platform knowledge