As a Data Engineer, you'll focus on creating and maintaining data pipelines that are essential 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 develop and maintain transformation layers that ensure data is processed efficiently and accurately.
Your day-to-day tasks will involve coding in Python, using libraries like pandas, and writing SQL queries to manipulate and extract data. You may also have the opportunity to work with AI developer tools, which can enhance your productivity and streamline your workflow.
This position is well-suited for individuals who have a strong foundation in data engineering principles and enjoy problem-solving. You should be comfortable working in an office environment and collaborating with others to achieve common goals.
Key requirements for this role include: • Proficiency in Python and SQL • Experience with PostgreSQL • Familiarity with AI tools and LLM-based assistants is a plus
If you're passionate about data and looking to make an impact in a professional setting, this could be the right opportunity for you.
You'll be taken to the original listing on PNet to apply.