Data Engineer – Gen AI & AWS

About this kind of role

What a Data Engineer – Gen AI & AWS usually does. The employer's own details are in the listing.

Typically does: Data Engineers build and maintain data pipelines that transform and load data from various sources into data warehouses or data lakes. They design, develop, and test scalable and reliable ETL (Extract, Transform, Load) processes. A key focus is ensuring data quality and availability for use in machine learning models, particularly those leveraging generative AI. They often collaborate with data scientists and machine learning engineers to optimize data infrastructure.

Tools and skills: Proficiency in programming languages like Python or Java, experience with cloud platforms such as Amazon Web Services (AWS), and familiarity with data warehousing technologies like Snowflake or Redshift, along with SQL and ETL tools, are generally required.

Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data, and the ability to work effectively in a collaborative environment often thrive in this role.