n Work with a cross-functional team to design, develop, and implement enterprise-level data architectures and solutions using cloud-based big data and AI technologies.
n Create and maintain data models, supporting ETL and ELT development processes to ensure smooth data flow across various systems.
n Collaborate with clients to understand their data requirements and deliver tailored solutions that meet their specific needs.
n Design, build, and maintain data pipelines for processing and analyzing large-scale datasets using distributed computing frameworks.
n Optimize data storage and processing for high performance, scalability, and reliability.
n Implement data governance practices to ensure data quality, consistency, and security.
n Work with relational and non-relational databases, and MPP Data Warehouses, to build and maintain robust data storage solutions.
n Hands-on experience with complex SQL queries, data manipulation, and data analytics.
n Stay up-to-date with emerging technologies in big data and AI fields, providing recommendations for improvement and innovation.