
Data Engineer Position Open
5 days ago
Are you an experienced developer with a passion for AI, ML, and data science?
We are seeking a skilled Python developer to join our team in an international environment.
The ideal candidate will have experience working with ETL tools like Apache Airflow and Mage, as well as relational and non-relational databases (SQL, NoSQL). Strong problem-solving skills and the ability to work in agile environments are also essential.
Job Description
As a skilled Python developer, you will be responsible for developing, implementing, and optimizing ETL workflows for data extraction, transformation, and loading from various sources. You will also write efficient Python scripts and applications for data processing, ETL, and analysis.
- Design and maintain data pipelines for ETL and reporting
- Work with relational and non-relational databases (SQL, NoSQL) for efficient data storage and retrieval
- Handle large datasets, ensuring efficient ETL processes
- Maintain data quality, integrity, and security
- Automate and schedule ETL workflows using tools like Apache Airflow or Mage
- Monitor and optimize ETL performance for scalability and efficiency
- Develop REST-like APIs to integrate machine learning models with applications
- At least 3 years of experience in Python development
- At least 3 years of experience in AI/ML
- 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 methods (REST, SOAP, FTP, LDAP)
- Experience with version control systems (Git, GitHub, Bitbucket)
- Experience with cloud platforms (Azure, AWS, GCP)
- Strong problem-solving skills and ability to work in agile environments
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