Senior Data Engineer

Responsibilities:
Architect and maintain the Data Lakehouse platform utilizing an open-source tech stack (MinIO/SeaweedFS, Apache Iceberg, Airflow, etc.) hosted and orchestrated on Kubernetes.
Deploy and monitor data applications within our Kubernetes environment. Continuously enhance infrastructure for greater scalability, automate manual processes, and optimize data delivery across the ecosystem.
Design, build, and maintain highly scalable ELT/ETL data pipelines using Apache Airflow for orchestration, and leverage dbt alongside Trino, Spark to execute complex, large-scale data transformations.
Work with stakeholders including the Executive, Marketing, Accounting, Finance, etc teams to assist with data-related technical issues and support their data infrastructure needs.
Establish and follow strict data governance, data quality monitoring, and metadata management processes to ensure a highly reliable single source of truth.
Qualifications:
4+ years of experience in a Data Engineer role.
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
Experience with programming languages such as Python, Scala...
Advanced working SQL knowledge and experience working with relational SQL and NoSQL databases as well as working familiarity with a variety of data sets: SQL Server, MySQL, PostgreSQL, MongoDB, ... etc
Experience with data pipeline and workflow management tools: Airflow, DBT
Experience with data processing tools: Spark, Trino, etc.
Experience with both OLAP and OLTP database: design data model, optimization database, optimization query.
Hands-on experience building, migrating, or managing data infrastructure on major cloud providers (AWS, GCP, or Azure) is a strong plus.
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:
Work Location: Hanoi Office - 315 Truong Chinh, Thanh Xuan District, Hanoi
Compensation: Competitive and negotiable, commensurate with qualifications and experience
Working Hours: Monday to Friday, with flexible check-in arrangements
Equipment: The Company provides all necessary working equipment, including a desktop or laptop
Benefits: Full compliance with statutory benefits in accordance with the Labor Law, including mandatory social insurance contributions and 24/7 accident insurance; additionally, private health insurance coverage is provided (subject to job level)
Incentives: KPI-based performance bonus and 13th-month salary
Employee Perks: Enjoy a 10%-30% discount on total bills within the Golden Gate system