Acquire and manage data from various sources and storage systems
Transform existing ETL logic to AWS, Databricks, or equivalent cloud platforms
Implement new or enhance existing services and components using both object-oriented and functional programming
Establish and enforce guidelines to ensure consistency, quality, and completeness of data assets
Executes standard software solutions, design, development, and technical troubleshooting
Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
Formal training or certification on data engineering concepts - Experience in data engineering, with a focus on cloud-based solutions - Hands-on practical experience in system design, application development, testing, and operational stability
Snowflake, Databricks