JOB DESCRIPTION
- Design, build, and maintain scalable data infrastructure on modern cloud platforms.
- Collaborate cross-functionally (engineering, analytics, product) to develop end-to-end data pipelines.
- Ensure system reliability, performance, and cost optimization.
- Establish and enforce data quality and governance standards while promoting DevOps practices (CI/CD, Infrastructure as Code).
- Partner with Data Science and Analytics teams to enable BI, advanced analytics, and machine learning use cases.
JOB REQUIREMENTS
MUST HAVE
- 4+ years of experience in Data engineering.
- Experience with Apache Airflow for scheduling/orchestration.
- Experience with ETL/ELT design.
- Experience with Python/Java/Scala.
- Experience with compliance (GDPR, CCPA).
- Experience with (Online Transaction Processing) and OLAP.
(Online Analytical Processing). - Experience with CI/CD pipelines and DevOps tools.
NICE TO HAVE:
- Kafka, Spark Streaming.
- Terraform, Ansible.
- Jenkins, Git.
BENEFITS
Competitive Salary and Brilliant Health Benefits
- Attractive salary (13th-month salary, salary review twice/year) and project bonus
- Bonus programs for candidate referral, technical article writing
- Allowance for sickness, maternity, paternity and periodic health examination
- PVI health care program
- The staff of the quarter and year reward
Progressive and Fun Working Environment
- A professional English-speaking working environment with Agile – Scrum model
- Hybrid Working Model: Flexible working time and WFH support.
- Surrounded with friendly, open-minded, young and supportive colleagues
- Annual company trip and regular team-building parties, party celebration (Christmas, Birthday, Mid-autumn,...), Sports clubs (football, badminton, swimming …)
Valuable Training
- Sponsor examination fee for professional certificates (AWS, Azure, IELTS, PMP, Scrum Master,...)
- Sponsor fee for joining any technical training sessions and courses.
- Free English workshops
