about the company
Our client is a prominent, large-scale enterprise undergoing a major digital transformation. They are actively expanding their technology infrastructure to support advanced analytics, machine learning, and business-wide innovation.
about the role
- Design and operate highly scalable data ingestion and transformation pipelines within a modern cloud ecosystem.
- Process and integrate diverse datasets to support reporting, analytics, and complex machine learning models.
- Develop and manage the backend data architecture required for advanced information retrieval and AI-driven business applications.
- Oversee platform reliability, including performance monitoring, deployment automation, and incident resolution.
- Ensure all solutions adhere to strict enterprise data governance, security, and compliance standards.
skills and experience
- Degree in Computer Science, Engineering, or a relevant technical discipline.
- Minimum 5 years of experience, at least 8 years of hands-on experience in data engineering, platform operations, or cloud-scale analytics.
- High proficiency in Python and SQL for complex data manipulation.
- Strong working knowledge of distributed data processing frameworks and large-scale data concepts.
- Practical experience supporting data structures for modern AI frameworks or advanced search solutions.
- Thorough understanding of CI/CD workflows, enterprise cloud security, and release management.
To apply online please use the 'apply' function, alternatively you may contact Evangeline.
(EA: 94C3609/ R24124002 )
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