Responsibilities for Lead Data Engineer at GGG
- Team Leadership & Delivery: Lead and mentor a team of 3-6 Data Engineers; oversee daily execution, Agile/Scrum sprints, code reviews, and technical standards enforcement.
- Technical Ownership: Drive the architectural evolution of GGG's Data Lakehouse platform (MinIO, Iceberg, Trino, Airflow, Dbt on K8s), ensuring high availability, security, and performance.
- Stakeholder Alignment: Act as the primary technical bridge between Data Engineering and Business/Analytics teams (Marketing, Finance, Operations) to translate business needs into scalable technical roadmaps.
- Cost & Performance Optimization: Continually optimize data infrastructure costs (On-prem K8s resources) and pipeline execution time for scale across 600+ restaurants.
- Technical Advisory & Mentorship: Serve as the ultimate technical authority for complex data engineering challenges; mentor Senior/Lead engineers across the organization.
Qualifications for Lead Data Engineer at GGG
- 6+ years of total experience in Data Engineering, with at least 1-2+ years in a leadership/mentorship role (Lead/Tech Lead).
- Having a degree in Computer Science, Information Systems,
Software Engineering or another related field.
- Wide knowledge about software products using in F&B field is a plus.
Should also have experience with the following software/tools/platforms
- Enterprise Architecture: Proven experience designing and operating Data Lakehouse / Data Warehouse / Data Mesh at scale (handling multi-terabyte/petabyte datasets or streaming data).
- Data Governance & Security: Strong expertise in enterprise security, RBAC/ABAC (e.g., Apache Ranger, Immuta), and compliance policies (GDPR/Personal Data Protection Decree 13).
- FinOps & Resource Optimization: Deep understanding of resource allocation, query optimization, and cost tuning for engines like Spark, Trino, and Kubernetes clusters.
- Soft Skills & Leadership: Outstanding strategic thinking, stakeholder management, problem-solving, and ability to influence technical decisions at executive levels.
- Proven experience working with data stacks hosted on Kubernetes. Familiarity with configuring, deploying, and troubleshooting pods/containers using Helm, kubectl, and Docker is highly preferred.
Benefits
- Working location: Hanoi Office at 315 Truong Chinh, Thanh Xuan, Hanoi
- Working hours: Monday - Friday; flexible check-in time;
- Equipment: The company provides all necessary working equipment such as Desktops/Laptops;
- Statutory Benefits: Guaranteed full welfare benefits in accordance with the Labor Law, including: Full statutory insurance contributions, 24/7 accident insurance, etc.;
- Health Care: Private health insurance (depending on job level);
- Bonuses: KPI bonus, 13th-month salary;
- Employee Discount: 10% - 30% discount on the total bill when dining at restaurants within the Golden Gate network;
- Project Exposure: Opportunity to participate in large-scale digital transformation projects with a direct impact on business operations;
- Culture: Professional working environment with cross-functional and partner collaboration.