Azure Data Engineer Lead - Clearwater, FL (Hybrid, 2 3 days onsite

Azure Data Engineer LeadLocation: Clearwater, FL (Hybrid, 2 – 3 days onsite) Duration: 12 Plus Months Rate: DOE U.S. Citizens and those authorized to work in the U.S. are encouraged to apply.

We are unable to sponsor at this time.Job DescriptionResponsibilities:Azure Data Analytics having a thorough understanding of Azure Data Platform tools.Expertise and hands-on experience on Azure Platform including Data Factory, Synapse, Data Lake Gen2, CICD, DevOps.Expertise in SQL Server DB, SQL Server Data Warehouse.Collaborate with project stakeholders like database administrators, technical architects, business analysts, and product owners to determine project needs and plan development and implementation strategies.To define, design, review, and explain Data Architecture requirements to all the project stakeholders.Lead the migration of data from legacy systems to newly developed solution.To create strategies and design solutions for a wide variety of use cases like Data Migration (end-to-end ETL process), database optimization, and data architectural solutions for Analytics Data Projects.To design, develop and troubleshoot highly complex technical problems in OLAP/OLTP/DW, Analytics and provide solutions for Enterprise level Applications utilizing Azure Data Platform.To implement data quality processes for use with BI solutions, data warehouses, etc.Work on streamlining data flows and data models consistently.Have a keen focus on improving and tuning data quality, accessibility, performance, and security needs.Skills RequiredBachelor/ master's degree in the technology field (preference is computer science engineering, analytics).Self-driven, and able to think holistically about the product roadmap.Performing reviews of data Architecture and Designs.Research new technologies and data modeling methods.Creative in solving complex business problems.Excellent written & verbal communication.Proficient in capturing requirements, Architect and Design solutions for Azure Data Analytics, Data Lake, Data Warehousing, ETL Projects/ProductsEnd-to-end implementation experience in at least ONE Project in Data Warehouse and Analytics using Azure Data platform tools.Proficient in the tools: Azure Data Factory, Azure Data Lake, Azure Synapse, Azure SQL DB, MS-SQLLead the solution implementation for Data Warehouse projects.Create conceptual, logical, and physical data models for both relational and dimensional solutions.Effectively managing large sets of data for performance, security, and data governance viewpoint.Deep knowledge of a wide variety of database systems and data mining techniques.Experience to build and test physical data models for a variety of use cases meeting performance and efficiency goals.Excellent in Logical and Physical Data Modelling using data modeling tools like Erwin, Enterprise Architect, etc.Certifications in Architecture, Analytics, Data Science, and Cloud will be added advantages.Experience in Azure Functions.Experience with implementing metadata-driven dynamic Azure pipelines is a plus