Big Data Lead

Skills Required: Experience: 12 to 15 years in Data Management, Data Warehousing, and Analytics. Data Solutions: 4 to 5 years in architecting and implementing data solutions. Azure Expertise: 3 years in implementing data solutions using Azure Data Factory and MS Synapse. Azure Functions: Understanding of Azure Functions, including their operation and migration processes. Programming: Proficiency in Python scripting and exposure to Java API development. Azure Synapse Analytics: 1 to 2 years of experience is a plus. ADF Integration: Experience in installing and configuring Azure Data Factory integration runtimes and linked services. Big Data: Hands-on experience with big data platform tool selection and proof of concept (POC). Data Migration: 2 years of experience in data migrations to Azure using Data Box or Data Migration Services. Microsoft Fabric: Any commercial exposure to Fabric is highly desirable. Responsibilities: Participate in strategic planning to define roadmaps and environments that support clients' Azure Data and Advanced Analytics initiatives. Assist in defining the scope and sizing of work. Collaborate closely with enterprise architects, information security teams, and data management teams to ensure the architected solution meets all customer needs from both functionality and IT solution engineering perspectives. Translate business requirements into technology solutions. Lead POCs and guide customers in selecting the right technologies to solve business problems."