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Senior Data Pipeline Developer
2 weeks ago
We are seeking a skilled Data Engineer to join our team in designing and developing scalable data pipelines. The ideal candidate will have hands-on experience building data pipelines and integrating data workflows to support ML and analytics use cases.
The selected individual will work closely with data engineers, ML engineers, and analysts to design, build, and maintain robust and production-ready data pipelines.
- Develop data ingestion, transformation, and delivery pipelines using Python and modern ETL tools.
- Build backend services, APIs or UIs to support ML applications.
- Maintain and optimize batch and real-time data pipelines for performance and scalability.
- Support the packaging and deployment of machine learning models into production environments.
The following skills and qualifications are required:
- Strong programming skills in Python.
- Hands-on experience building data pipelines and integrating data workflows.
- Knowledge of modern ETL tools and cloud platforms.
- Experience with container technologies such as Docker and Kubernetes.
- Understanding of best practices for versioning, logging, and CI/CD.
As a Data Engineer at our organization, you will have the opportunity to work on challenging projects, collaborate with experienced professionals, and contribute to the development of cutting-edge data solutions.