Data Engineer - Generative AI - Global Manufacturing MNC
1 day ago
Job Description:
Design Data Pipelines: Develop robust infrastructure to collect, process, and store data from multiple sources.
Build Data Asset..
Job Description:
- Design Data Pipelines: Develop robust infrastructure to collect, process, and store data from multiple sources.
- Build Data Asset Platform: Create a centralized platform for managing and accessing data assets across the organization.
- Automate SQL Generation: Develop systems to automatically generate SQL queries based on user-defined criteria or business requirements.
- Innovate and Create IP: Contribute to the creation of new intellectual property (IPs) in Singapore in your area of expertise.
- Lead Collaborations: Manage partnerships with academic institutions and research organizations for new technology development.
- Support Overseas Projects: Provide assistance in process development and implementation through short-term overseas assignments.
- Apply AIGC: Utilize AI-Generated Content (AIGC) techniques for data analysis and automation of content creation.
- Ensure Data Quality: Implement strategies to maintain and validate data quality and consistency throughout pipelines.
- Use Cloud Platforms: Deploy and manage data infrastructure on leading cloud platforms such as AWS, Google Cloud, or Azure.
- Implement Automation Tools: Use tools like Apache Airflow, Kubernetes, or Ansible to automate data pipelines and infrastructure management.
Job Requirements:
- Educational Qualifications: Master’s degree with at least 2 years of relevant experience or PhD with at least 1 year of relevant experience in Computer Science, Data Science, Applied Statistics, or related fields.
- Programming Expertise: Proficiency in programming languages such as Python, SQL, Java, or Scala.
- Experience with Data Warehousing & ETL: Solid understanding of data warehousing, ETL processes, and tools like Informatica, Talend, or Airflow.
- Database Management Knowledge: Expertise in relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
- Cloud and Automation Tools: Experience with cloud platforms and automation tools like Apache Airflow, Kubernetes, or Ansible, and a basic understanding of machine learning.
HOW TO APPLY:
Interested applicants, please click on “Apply Now” and provide the below details in your resume.
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