Key Responsibilities
- Collaborate with Data Scientists and AI Engineers to integrate predictive models and machine learning algorithms into data analytics workflows
- Design, build, and optimize data pipelines and processing workflows to ensure scalability, efficiency, and high performance
- Implement optimization techniques to improve query performance, reduce processing time, and enhance overall system productivity
- Perform tuning and optimization of data models for efficient data access and retrieval
- Develop and maintain ETL/ELT pipelines to support large-scale data processing
- Ensure data quality by implementing validation and verification processes to maintain accuracy, consistency, and completeness
- Work cross-functionally to ensure compliance with data security, governance, and enterprise data standards
Requirements
- Minimum 3 years of hands-on experience in developing Big Data systems
- Strong experience with ETL/ELT pipelines and data processing platforms
- Experience deploying data platforms on bare-metal infrastructure or cloud-native environments
- Solid understanding of enterprise data management standards and best practices
- Proven ability to optimize data workflows, pipelines, and large-scale data systems
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, IT, or related fields
- Professional certifications in data engineering, big data technologies, or distributed systems are a strong advantage
HOW TO APPLY: Please send your CV to the consultant in charge:
E-mail: uyen.nguyen@ev-search.com
All applications will be considered without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, or any other non-merit factor.
