Data Engineer I (AWS, Python, GenAI)

About this kind of role

What a Data Engineer I (AWS, Python, GenAI) usually does. The employer's own details are in the listing.

Typically does: Data Engineers design, build, and maintain data infrastructure to support data analysis and machine learning initiatives. They focus on developing robust and scalable data pipelines that transform raw data into usable formats. This often involves extracting data from various sources, cleaning and validating it, and loading it into data warehouses or data lakes. They also ensure data quality and availability for downstream users.

Tools and skills: Proficiency in programming languages like Python, experience with cloud platforms such as Amazon Web Services (AWS), and familiarity with data warehousing technologies, database systems, and data pipeline tools are generally required.

Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data, and the ability to work collaboratively with data scientists and other engineers often thrive in this role.