Sr Technical Lead

As a Business Analyst with Azure experience, your role will involve collecting, analyzing, and documenting all business and functional requirements for the Data Lake infrastructure. You will support advancements in Business Analytics to ensure the system meets evolving business needs and profile new and existing data sources to define and refine the data warehouse model. Collaboration with architects and stakeholders will be essential to define data workflows and strategies. Your responsibilities will also include driving process improvements to optimize data handling and performance, as well as performing deep data analysis to ensure accuracy, consistency, and quality of data. Key Responsibilities: - Collect, analyze, and document business and functional requirements for Data Lake infrastructure - Support advancements in Business Analytics to meet evolving business needs - Profile new and existing data sources to refine the data warehouse model - Collaborate with architects and stakeholders to define data workflows and strategies - Drive process improvements for optimizing data handling and performance - Perform deep data analysis to ensure data accuracy, consistency, and quality - Work with QA resources on test planning for quality and consistency within data lake and Data Warehouse - Gather data governance requirements and implement data governance practices within Data Lake infrastructure - Collaborate with functional users to gather and define metadata for the Data Lake Qualifications Required: - Experience with Azure Data Factory, Synapse, Power BI, Data Lake, SQL, KQL, Azure Security, data integration, Oracle EBS, cloud computing, data visualization, CI/CD pipelines - Excellent analytical and problem-solving skills - Strong verbal and written communication abilities In addition to the key responsibilities and qualifications, as a Business Analyst, you should possess excellent analytical and problem-solving skills along with strong verbal and written communication abilities to effectively collaborate with stakeholders and drive process improvements within the Data Lake infrastructure.,