Design and build scalable, robust, and maintainable data pipelines and ETL processes.
Work on our HR Analytics Platform to parse job postings (and other online data) and implement analytics to feed into our SaaS platforms and Market Intelligence projects.
Develop and maintain data warehouses and databases using technologies such as Redshift, PostgreSQL or similar.
Work closely with data scientists and analysts to understand their requirements and ensure data quality and consistency.
Collaborate with other developers and engineers to build efficient, reliable, and performant systems.
Write clean, efficient, and well-documented code in Python. Develop and maintain RESTful APIs to provide access to data and services.
Troubleshoot and resolve data-related issues as they arise.
Stay up-to-date with the latest technologies and trends in data engineering and REST API development.

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
At least 3 years of professional experience as a Python developer focused on data engineering.
Experience designing and building data pipelines and ETL processes using Python libraries such as pandas, NumPy, and SciPy.
Experience working with databases and data warehousing concepts, including data modeling, schema design, and SQL.
Strong coding skills in Python, with a focus on code quality, maintainability, and performance.
Experience designing, developing, and maintaining RESTful APIs using Python frameworks like FastAPI, Flask, or Django.
Strong problem-solving skills and the ability to work independently and in a team environment.
Excellent communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders.

Python Developer – Data Engineering

Key skills