As a Data Engineer, you'll focus on creating and maintaining data pipelines that are essential for data processing and analysis. This role is ideal for someone who enjoys working with data and has a strong background in programming and database management.
In this role, you'll be responsible for designing, building, and maintaining scalable ELT/ETL pipelines. Your primary tools will be Python and SQL, and you'll work extensively with PostgreSQL to ensure data flows smoothly and efficiently.
Collaboration is key in this position, as you'll work with other team members to build and maintain transformation layers. Your strong proficiency in Python, particularly with libraries like pandas, will be crucial for manipulating and processing data effectively.
The ideal candidate will have experience with AI developer tools, including Claude Code and other LLM-based assistants, which can enhance your workflow and productivity. This role suits individuals who are detail-oriented and enjoy problem-solving within the data landscape.
Key responsibilities include: • Designing and implementing data pipelines • Collaborating with team members on data transformation • Maintaining and optimizing existing data processes
To succeed in this role, you should have a solid understanding of Python and SQL, along with experience in working with PostgreSQL databases. If you are passionate about data engineering and enjoy working in a collaborative environment, this position could be a great fit for you.
You'll be taken to the original listing on PNet to apply.