Data Warehouse and Machine Learning Engineer
We are seeking a highly skilled and experienced Data Warehouse and Machine Learning Engineer to join our team.
Key Responsibilities
• Design, Develop, and Maintain Data Warehousing Solutions
• Implement and Optimize Machine Learning Algorithms
• Create and Manage Data Pipelines
• Utilize Cloud Services for Data Storage and Processing
• Containerize and Orchestrate Data Workflows using Docker and Kubernetes
• Troubleshoot and Resolve Anomalies in System Functionality and Performance
• Collaborate with Cross-Functional Teams to Understand Business Requirements and Develop Data Solutions
Requirements
• Bachelor's Degree in Computer Science, Engineering, or a Related Field
• Minimum of 5 Years of Experience in Data Warehousing and Machine Learning
• Proficiency in SQL and Programming Languages such as Python or Java
• Strong Understanding of Data Pipeline and Workflow Management Tools
• Experience Working with Cloud Services like AWS, Google Cloud Platform, Microsoft Azure, and Oracle
• Knowledge of Docker and Kubernetes for Containerization and Orchestration
• Excellent Problem-Solving and Troubleshooting Skills
• Ability to Work Independently as Well as in a Team Environment
• Strong Communication and Collaboration Skills
If you have a strong background in data warehousing and machine learning, we would love to hear from you. We are a dynamic team committed to building innovative solutions using cutting-edge technologies.
