Data Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)

About this kind of role

What a Data Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology) usually does. The employer's own details are in the listing.

Typically does: Data Engineers design, build, and maintain data pipelines that transform raw data into usable formats for analysis and reporting. They develop and implement efficient and scalable data architectures, ensuring data quality and reliability across various systems. This often involves working with large datasets and integrating data from diverse sources. Data Engineers also monitor and troubleshoot data pipelines, optimizing performance and addressing data-related issues.

Tools and skills: Proficiency in programming languages like Python, experience with cloud platforms such as AWS, strong SQL skills, and familiarity with Generative AI concepts are generally required, alongside data warehousing solutions and ETL processes.

Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data, and the ability to work collaboratively in a fast-paced environment typically thrive in this role.