As a Data Engineer, you'll focus on designing and maintaining data pipelines that are crucial for data processing. This role is ideal for someone who enjoys working with data and has a strong background in Python and SQL.
In this role, you'll be responsible for designing, building, and maintaining scalable ELT/ETL pipelines. Your main tools will be Python and SQL, particularly with PostgreSQL as your database. You'll work closely with other team members to create and maintain transformation layers that ensure data is processed efficiently and accurately.
Your day-to-day tasks will involve writing code to extract, transform, and load data, as well as optimizing these processes for performance. You'll also have the opportunity to explore and implement AI developer tools, which can enhance your workflow and improve the overall data pipeline.
This position is well-suited for individuals who have a strong proficiency in Python, especially with libraries like pandas, and a solid understanding of SQL. Familiarity with Node.js and AI tools will be beneficial but are not mandatory. If you enjoy tackling complex data challenges and working in a collaborative environment, this role could be a great fit for you.
You'll be taken to the original listing on PNet to apply.