Design, develop, and maintain data pipelines and ETL processes to extract, transform, and load data from various sources into data warehouses and data lakes.
Build and optimize data pipelines for high performance and scalability.
Develop and implement data quality checks and monitoring processes.
Collaborate with data analysts and scientists to understand data requirements and translate them into technical solutions.
Explore new data technologies and tools to improve data engineering processes.