As a Data Engineer, you'll design and maintain data pipelines that are crucial for data processing and analysis. This role is ideal for someone who enjoys working with data and has a strong background in Python and SQL.
In this role, you will 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 is processed efficiently. Collaboration is key, as you'll work with other team members to develop and maintain transformation layers that enhance data usability.
Your day-to-day tasks will involve coding in Python, particularly using libraries like pandas, to manipulate and transform data. You'll also be expected to write complex SQL queries to extract and manage data from PostgreSQL databases. Familiarity with AI developer tools, such as Claude Code and LLM-based assistants, will be beneficial as you integrate these technologies into your workflows.
This position is best suited for someone with a strong technical background in data engineering and a passion for problem-solving. You should be comfortable working in a fast-paced environment and be able to adapt to new tools and technologies as they emerge. Strong communication skills will help you collaborate effectively with your team.
Key requirements include proficiency in Python and SQL, along with experience in building data pipelines. If you have experience with Node.js or AI tools, that's a plus, but the core focus will be on your ability to work with data and develop scalable solutions.
You'll be taken to the original listing on PNet to apply.