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 foundation 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, ensuring data flows smoothly and efficiently.
Your day-to-day tasks will involve coding in Python, utilizing libraries like pandas, and writing SQL queries to manipulate and extract data. Familiarity with AI developer tools and LLM-based assistants will be beneficial, as these technologies can enhance your workflow and efficiency.
This position suits someone who is detail-oriented and enjoys problem-solving in a data-centric environment. Strong proficiency in Python and SQL is essential, as these are the core skills you'll use regularly. While experience with Node.js and AI tools is a plus, the primary focus will be on your ability to handle data effectively.
Overall, this role is a great opportunity for someone looking to deepen their expertise in data engineering while contributing to meaningful projects in a collaborative team setting.
You'll be taken to the original listing on PNet to apply.