
Python ETL and Data Science Specialist
3 days ago
Company Overview
ID-ware provides a unique opportunity for a skilled Python developer to join our rapidly growing team. As an international team player, you will work with multinational clients in an exciting environment.
Job Requirements
- We are looking for a highly experienced Python developer to develop, implement, and optimize ETL workflows to extract, transform, and load data from various sources.
- You will write efficient Python scripts and applications for data processing, ETL, and data analysis.
- Your task is to design and maintain data pipelines for ETL and reporting.
- You will work with relational and non-relational databases (SQL, NoSQL) to store and retrieve data efficiently.
- Achieving high performance and efficiency in data extraction, transformation, and loading (ETL) is crucial.
- Ensuring data quality, integrity, and security in all ETL processes is essential.
- You will automate and schedule ETL workflows using Apache Airflow, Mage, or other orchestration tools.
- Maintaining optimal ETL performance for scalability and efficiency is vital.
- You will develop REST-like APIs to integrate machine learning models with other applications.
- Collaboration with software engineers, analysts, and product managers to deliver data-driven solutions is key.
- Optimizing database queries and handling structured & unstructured data is important.
- You will implement unit and integration tests to ensure system reliability.
- Staying updated with AI, ML, and big data trends to improve current systems is necessary.
Your Skills
- You have 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.
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