Azure Data Engineer Lead - Clearwater, FL (Hybrid, 2 3 days onsite - Georgia IT Inc.
clearwater, FL
About the Job
Job Title - Azure Data Engineer Lead
Location - 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 Description
Responsibilities
Skills Required
Location - 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 Description
Responsibilities
- 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 Required
- Bachelor/ 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/Products
- End-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-SQL
- Lead 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
Source : Georgia IT Inc.