Datawarehouse Architect (Onsite Hybrid)

Create and implement data warehouse architectures to meet specific business data needs. Develop and maintain data models and schemas for efficient data storage and retrieval. Design efficient Extract, Transform and Load (ETL) processes to move data from various sources into the warehouse. Optimize the performance of the data warehouse and ensure it can scale to handle growing data volumes and user demands. Ensure the data in the warehouse is accurate, consistent, and compliant with data governance policies and regulations. Implement robust data security measures to protect sensitive information within the data warehouse. Work with various stakeholders to understand data requirements and ensure solutions align with business goals. Identify and resolve issues related to data quality, performance, and system functionality. 10+ years of Data modeling, Datawarehouse design 10+ years with SQL, scripting languages (e.g., Python) Excellent technical and practical experience with Datawarehouse technologies Ability to analyze complex data requirements and develop effective solutions. Strong ability to communicate technical concepts to both technical and non-technical audiences and Collaborate with various teams. Experience with cloud-based data warehousing solutions will be a plus. A Bachelor's Degree in Computer Science, Information Technology, or a related field is typically required. Experience in data warehouse, data management, solution architecture, and database administration is essential. Advanced certifications in data warehousing or related fields can enhance career prospects. INDFSINS L1-NorthAmerica