As a Data Engineer, you'll design and maintain data pipelines that are crucial for data analysis and reporting. This role is ideal for someone who enjoys working with data and has strong programming skills.
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 efficiently processed and transformed. Collaboration is key, as you'll work closely with analysts to create and maintain transformation layers that support data analysis and reporting needs.
Your day-to-day tasks will involve writing and optimizing code to handle data extraction, loading, and transformation processes. You'll also be expected to leverage your strong proficiency in Python, particularly with libraries like pandas, to manipulate and analyze data effectively. Familiarity with AI developer tools and LLM-based assistants will be beneficial, as these technologies can enhance your workflow and productivity.
This position is well-suited for individuals who have a solid background in data engineering and enjoy tackling complex data challenges. Strong problem-solving skills and the ability to work collaboratively in a team environment are essential. If you are passionate about data and have the technical skills required, this could be a great opportunity for you.
Key requirements include: • Proficiency in Python and SQL • Experience with PostgreSQL • Ability to collaborate effectively with analysts • Familiarity with AI tools is a plus
Overall, this role offers a chance to make a significant impact on data processes within the company while working in a supportive and professional setting.
You'll be taken to the original listing on PNet to apply.