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Chief Data Infrastructure Specialist
2 weeks ago
Key Roles and Responsibilities:
- Develop and implement scalable data pipelines using Python and relevant technologies.
- Collaborate with cross-functional teams to integrate data engineering solutions with existing systems.
- Design and optimize data storage architectures for high-performance and scalability.
- Implement machine learning algorithms and MLOps processes to drive business insights.
About This Role:
This is a pivotal position within our organization, where the right candidate will have the opportunity to design, develop, and maintain large-scale data systems. Our ideal candidate has 6-8 years of experience with a strong background in Python, PySpark, Glue, EMR, and Sage maker.
Key Skills and Qualifications:
- 6-8 years of experience in data engineering with a focus on Python development.
- Expertise in PySpark, Glue, EMR, and Sage maker.
- Strong understanding of data storage architectures and optimization techniques.
- Experience with machine learning algorithms and MLOps processes.
