10 data engineer jobs

Cross-Company Data Infrastructure Development:

• Design, develop, and manage data infrastructure that spans across the organization.

Data Integration and Pipeline Management:

• Develop and maintain robust data integration workflows and data pipelines to ensure seamless data movement.

Data Aggregation:

• Collect and aggregate data from multiple sources, including internal products, services, and CRM tools, into a centralized data lake.

Data Distribution:

• Ensure efficient and secure distribution of data from the data lake to analysis platforms and machine learning systems.

Data Analysis Infrastructure:

• Build and maintain infrastructure to support data analysis and enable accurate and timely insights.

Data Warehouse (DWH) Optimization:

• Continuously monitor and optimize the performance of the data warehouse (DWH) for scalability and efficiency.

Data Quality Assurance:

• Establish and enforce standards and practices to ensure high data quality across all stages of the data lifecycle.

Job Requirements

• Graduated from a top-tier university/college in Vietnam.
• Majored in Mathematics, Computer Science, or a related field.
• AI Software Development:
• Hands-on experience in developing AI algorithms or a strong understanding of how they work from scratch.
• Proficient in building Application Programming Interfaces (APIs) as internet services.
• Skilled in operating and managing API services with appropriate software.
• Measured performance using metrics software.
• Controlled and fine-tuned accuracy through data operation.
• Data Engineering:
• Proficient in Python and SQL (BigQuery experience is preferable).
• Experience in development and operations using AWS and Google Cloud or similar platforms.
• Cloud Architecture:
• Expertise in developing systems using cloud services, especially AWS (preferred), GCP, or Azure.
• Strong understanding of cloud service components from an architectural perspective (how they work, capabilities, and limitations).
• Experience in designing and integrating systems with appropriate security measures.
• Tools Proficiency:
• Configuration Management: Terraform.
• CI/CD: GitHub Actions.
• Monitoring and Logging: Datadog, Cloud Monitoring, CloudWatch.
• Project Management: JIRA Cloud, Miro.
• Documentation Tools: Kibela, Google Workspace.
• Experience with Key Technologies:
• Spark: 2–3 years of experience.
• Airflow: 1 year (as a user, not an administrator).
• Project and Team Management:
• Experience as a Project Manager or Product Manager.
• Led a team as a Data Engineer Lead (minimum of 2 members for at least six months; larger teams and longer durations are a plus).
• Communication Skills:
• Open-minded with a strong capability to understand the purpose and details of tasks.
• Proficient in English with a certification level of IELTS 7, TOEIC 800, or equivalent.

• Full salary during the probationary period
• Performance and salary review: twice/ a year in June and December
• 13th-month salary
• Monthly and biannual Recognition Awards
• An annual health check is provided
• Various insurances, including Social, Health, and Unemployment Insurance, are applied during the probation period. 
• Private health and accident insurance are also included, with additional benefits for family members at the Managing level.
• The hybrid working model allows for 3 days of remote work and 2 days in the office, with flexible start times.
• The facility is well-equipped, providing items such as a MacBook Pro and additional monitors. 
• Employees are entitled to 16-24 paid days off, with extra paternity leave days available.
• The company sponsors foreign language and international technology-related certifications.
• Annual company trips, quarterly team-building activities, and recreational clubs such as billiards and running.
• Employees have access to external and internal training courses, soft-skill workshops, and tech seminars.