As a Data Engineer, you'll focus on building and maintaining data pipelines that support the company's data needs. This role is ideal for someone who enjoys working with data and has a strong background in programming and database management.
In this role, you'll be responsible for designing and maintaining ETL (Extract, Transform, Load) pipelines that ensure data flows smoothly from various sources into the company's systems. You'll work primarily with Python and SQL to manipulate and query data stored in PostgreSQL, ensuring that the data is accurate and accessible for analysis.
Your day-to-day tasks will include orchestrating and automating data workflows, which may involve using tools like n8n and Zapier. You'll need to have hands-on experience with ELT/ETL processes in a production environment, as this is crucial for the role. Collaboration with other team members will be essential, as you'll be part of a team that values data-driven decision-making.
This position suits individuals who are detail-oriented and have a passion for working with data. Strong problem-solving skills and the ability to work independently are also important. If you have experience with Node.js, it would be a plus, but the core focus will be on your proficiency with Python, SQL, and PostgreSQL.
Overall, this role is a great opportunity for someone looking to deepen their expertise in data engineering while contributing to a collaborative team environment that prioritizes innovative data solutions.
You'll be taken to the original listing on CareerJet to apply.