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Job Description
Top 3 Reasons To Join Us
Full participation in social insurance
Flexible working hours
Public holidays and Tet holidays
The Job
We are a fast-growing startup seeking a Data Engineer to join our team and play a critical role in delivering innovative AWS-based solutions. If you are passionate about cloud technology, enjoy solving complex problems, and thrive in a dynamic environment, we would love to hear from you!
Key Responsibilities
- Develop and Deliver Projects
- Design, build, and implement scalable data pipelines and infrastructure on AWS.
- Collaborate with cross-functional teams to understand project requirements and ensure successful delivery.
- Project Troubleshooting and Support
- Troubleshoot project-related issues to ensure system stability and performance.
- Implement best practices and propose innovative solutions to meet client needs.
- Data Transformation and Integration
- Design and implement data transformation processes (ETL/ELT) to integrate data from multiple sources into data warehouses or data lakes.
- Ensure data accuracy and consistency while optimizing data processing performance.
- Data Monitoring and Dashboard Design
- Design and maintain real-time monitoring dashboards using Tableau or Grafana to provide actionable data insights.
- Automation and Process Optimization
- Develop automated workflows using Airflow to streamline and optimize existing data pipelines and infrastructure.
What We’re Looking For
- Experience: Proven experience as a Data Engineer, with hands-on experience in AWS services and tools.
- Skills:
- English Communication Skills: ★★★★☆ - Advanced proficiency preferred.
- Technical Skills: Proficiency in AWS, Python, SQL, ETL, and data pipeline automation.
- Communication Skills: Strong ability to collaborate with teams and clients effectively.
- Problem-Solving & Troubleshooting: Strong analytical and troubleshooting abilities to resolve complex issues effectively.
Bonus Points
- AWS certifications (e.g., AWS Certified Data Engineer Associate, AWS Certified Solutions Architect).
- Experience with GCP and Azure cloud platforms.
- Familiarity with BI and alerting tools like Tableau and Grafana.
- Work from Monday to Friday
- Flexible working hours: 8:00–17:00 or 8:30–17:30
- Full participation in social insurance and health insurance as required
- Public holidays and Tet holidays in accordance with government regulations
Benefits
- Work from Monday to Friday
- Flexible working hours: 8:00–17:00 or 8:30–17:30
- Full participation in social insurance and health insurance as required
- Public holidays and Tet holidays in accordance with government regulations