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[HCM] Senior Data Engineer

Pizza Hut Việt Nam · Ho Chi Minh Office (Văn phòng Hồ Chí Minh), Hồ Chí Minh
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Type
Full-time
Work mode
On-site
Level
Staff
Industry
Engineering / Mechanical
Department
Data Analytics (Phân tích dữ liệu)
Salary
Thương lượng
Location
Ho Chi Minh Office (Văn phòng Hồ Chí Minh), Hồ Chí Minh

Overview

  • Team Leadership & People Management
  • Lead the design and implementation of ETL/ELT pipelines, data models, and data platform components
  • Own the technical quality and scalability of all data engineering deliverables
  • Make decisions on implementation approaches, tools, and performance optimization
  • Review and approve code and technical designs from Data Engineers
  • Drive best practices in:
  • Data modeling & architecture
  • Pipeline design and orchestration
  • Data quality, validation, and observability
  • Performance optimization and cost efficiency
  • Delivery & Execution
  • Break down initiatives into clear technical tasks and execution plans
  • Assign and coordinate work across Data Engineers and Interns
  • Ensure timely, reliable, and high-quality delivery of data pipelines
  • Act as the first responder for production issues, leading:
  • Troubleshooting
  • Root cause analysis
  • Immediate fixes
  • Collaborate with Assistant Manager to highlight risks, bottlenecks, and trade-offs
  • Team Leadership & Coaching
  • Manage and mentor Data Engineers, Intern, and Data Support Specialist
  • Provide hands-on coaching through:
  • Code reviews
  • Design discussions
  • Support engineers in becoming independent and high-performing contributors
  • Ensure proper task ownership, accountability, and follow-through
  • Cloud & Resource Management
  • Ensure stability and reliability of data pipelines and workflows
  • Maintain and improve:
  • Scheduling and orchestration
  • Monitoring and alerting systems
  • Data quality checks and validation processes
  • Support backfills, reprocessing, and data corrections when required
  • Support & Incident Handling
  • Oversee and support the execution of data support requests
  • Validate and approve fixes for:
  • Data discrepancies
  • Reporting inconsistencies
  • Ensure issues are properly:
  • Investigated

Requirements

  • Education:
  • Bachelor’s in related field.
  • Experience:
  • 1+ year of experience in data engineering, data analytics engineering, or related role.
  • Strong SQL skills and familiarity with at least one programming language (Spark, Python preferred).
  • Hands-on experience with at least some of the following:
  • Data orchestration: Airflow, dbt, or similar.
  • Streaming & messaging: Kafka or similar.
  • Cloud platforms: GCP (BigQuery, GCS, Dataproc, Dataflow) or equivalent AWS/Azure experience.
  • Containers & orchestration: Docker, Kubernetes.
  • Understanding of ETL/ELT concepts, partitioning, and data modeling.
  • Good communication skills and fluent in English (written and spoken).
  • Eagerness to learn and grow in a cross-regional, Agile/Scrum team environment.
  • Nice to have:
  • Exposure to machine learning pipelines or MLOps tools (MLflow, DVC, Great Expectations).
  • Familiarity with BI tools such as Power BI, Looker, or Data Studio.
  • Experience with Git-based CI/CD and Infrastructure as Code (Terraform).
  • Benefit package:

Benefits

HealthcareTrainingMeal allowance

Summary of facts from the official posting. View original ↗

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