Python Developer (ETL & Data Science Specialist)

A career-oriented position in a rapidly growing company
Opportunity to work with multinational clients in an international environment
Be a part of an international team
Opportunities to further develop your skills by participating in company sponsored internal or external technical courses

Develop, implement, and optimize ETL workflows to extract, transform, and load data from various sources.
Write efficient Python scripts and applications for data processing, ETL, and data analysis.
Design and maintain data pipelines for ETL and reporting.
Work with relational and non-relational databases (SQL, NoSQL) to store and retrieve data efficiently.
Work with large datasets, ensuring efficient data extraction, transformation, and loading (ETL).
Ensure data quality, integrity, and security in all ETL processes.
Automate and schedule ETL workflows using Apache Airflow, Mage, or other orchestration tools.
Monitor and optimize ETL performance for scalability and efficiency.
Develop REST-like APIs to integrate machine learning models with other applications.
Collaborate with software engineers, analysts, and product managers to deliver data-driven solutions.
Optimize database queries and handle structured & unstructured data.
Implement unit and integration tests to ensure system reliability.
Stay updated with AI, ML, and big data trends to improve current systems.

3+ years of experience in Python development.
Strong experience with data science libraries (Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch).
Experience with ETL tools like Apache Airflow, Mage etc.
Solid understanding of database systems (PostgreSQL, MySQL, MongoDB, etc.).
Familiarity with API integration and data ingestion from various sources (REST, SOAP, FTP, LDAP etc.).
Experience with version control systems (Git, GitHub, Bitbucket).
Experience in cloud computing platforms (Azure, AWS, GCP).
Strong problem-solving skills and ability to work in agile development environments.