I. JOB DESCRIPTION
- Participate in building and operating Data Pipelines (Batch & Streaming) on Google Cloud (BigQuery, Dataflow, Pub/Sub) or AWS (Redshift, Glue, Kinesis) platforms.
- Support the development, training, and deployment of Machine Learning/AI models to solve real-world business problems.
- Collaborate with the technical team to optimize data systems, ensuring performance and stability.
- Participate in data processing, analysis, and building workflows for AI/Data projects.
- Support the deployment, testing, and maintenance of AI/Data systems in Cloud environments.
- Work with Business Analysts, Sales, and related departments to understand requirements and propose suitable technical solutions.
- Proactively research and update new technologies in Data Engineering, AI, and Cloud Computing.
II. REQUIREMENTS
- 1–3 years of experience in Data Engineering, Data Analysis, AI Engineering, or related fields.
- Solid knowledge of Python and SQL.
- Basic understanding of Machine Learning/AI or data processing.
- Prior working or learning experience with Cloud platforms such as Google Cloud Platform (GCP) or AWS is an advantage.
- Basic knowledge of technologies like Spark, Kafka, Airflow, Docker, or Kubernetes is a plus.
- Good logical thinking, proactive in learning, and good teamwork skills.
- High sense of responsibility, willing to adapt to new technologies.
- Ability to read and comprehend specialized English documents.
III. BENEFITS
- Lunch allowance of 35,000 VND/working day.
- Salary: Negotiable.
- Salary review: Annual performance and salary review.
- Social and Health Insurance as per regulations + Premium Health Insurance based on seniority.
- Fully provided with necessary working equipment and machines. Bonuses on public holidays (Tet holidays, April 30th & May 1st, Sept 2nd) according to company policies. Participate in bonding activities such as annual team building and company trips.
IV. WORKING TIME & LOCATION
Working hours: Monday - Friday (8:30 AM - 12:30 PM, 1:30 PM - 6:00 PM)
Address: Cloudino Building, No. 3, Lane 4, Nghia Do Street, Hanoi.