As a Data Engineer, you'll design and maintain data pipelines that are crucial 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 will be responsible for designing, building, and maintaining scalable ELT/ETL pipelines. Your work will primarily involve using Python and SQL to manage data flows and ensure that data is processed efficiently. You'll collaborate with other team members to build and maintain transformation layers, which are essential for data analysis and reporting.
Your day-to-day tasks will include: • Developing and optimizing data pipelines using Python and SQL. • Ensuring data quality and integrity throughout the data processing lifecycle. • Collaborating with team members to enhance existing data systems and processes.
This position is well-suited for individuals who have a strong proficiency in Python, particularly with libraries like pandas, and are comfortable working with SQL and PostgreSQL. Familiarity with AI developer tools and LLM-based assistants is a plus, as it can enhance your workflow and efficiency.
If you enjoy working with data and have a knack for problem-solving, this role could be a great fit for you. You'll be part of a team that values collaboration and innovation in data management.
You'll be taken to the original listing on PNet to apply.