Data Architecture Design: Design, develop, and maintain scalable data architectures on AWS to support data warehousing, analytics, and business intelligence applications.
Data Warehousing: Build and manage data warehouses using AWS services such as Redshift, S3, and Glue. Ensure optimal performance, scalability, and reliability.
Data bricks Integration: Utilize Data bricks for data processing, transformation, and analysis. Develop and optimize ETL/ELT pipelines using Data bricks and other AWS tools.
Data Modeling: Create and maintain complex data models, including conceptual, logical, and physical models. Implement dimensional models to support analytical and reporting needs.
Solution Design: Convert business requirements into technical solutions. Work with stakeholders to gather requirements, define project scope, and develop detailed technical specifications.
Best Practices: Implement industry best practices for data management, data governance, and data security. Ensure compliance with relevant regulations and standards.
Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions that meet their needs.