Data Engineer

Your role & responsibilities

• Design and implement real-time and batch data pipelines
• Build and maintain scalable streaming systems
• Develop and optimize stream processing jobs
• Ensure reliable ingestion from multiple internal and external data sources
• Design event schemas and data contracts
• Implement data validation, transformation, and enrichment logic
• Optimize storage layouts and lifecycle management strategies
• Improve system observability (metrics, logging, alerting)
• Troubleshoot and resolve performance bottlenecks in distributed systems
• Implement retry, dead-letter, and replay mechanisms
• Ensure data quality, consistency, and governance
• Collaborate with Backend, DevOps, and Security teams

Your skills & qualifications

Must-Have

• Proficiency in Java, Python, and SQL; strong software engineering fundamentals
• Experience with distributed messaging systems (e.g., Apache Kafka) and stream processing frameworks (e.g., Apache Flink)
• Knowledge of event-time processing, windowing, state management, and handling out-of-order events
• Experience with cloud storage/data lakes, relational databases, and search/indexing engines (e.g., OpenSearch / Elasticsearch)
• Familiarity with cloud platforms (AWS preferred), IaC (Terraform), CI/CD, and containerization (Docker)
• Strong problem-solving skills and ability to design scalable, fault-tolerant data pipelines

Nice-to-Have

• Experience with workflow orchestration platforms
• Experience in security, log processing, or observability domains
• Schema management tools (Avro, Protobuf, Schema Registry)
• Data lake table formats (Iceberg, Hudi, Delta Lake)
• Experience with distributed query engines (Athena, Trino, Presto)
• Multi-tenant system design
• Cost optimization in large-scale cloud environments

Soft Skills

• Strong problem-solving and debugging skills in distributed systems
• Ownership mindset with attention to reliability and quality
• Clear communication and documentation skills
• Ability to work cross-functionally
• Comfort working in fast-paced environments

Qualifications

• Bachelor’s degree in Computer Science or equivalent experience.
• 7+ years of experience in data engineering or distributed systems
• Strong fundamentals in system design and scalability
• Proven experience operating production-grade data platforms
• Ability to balance performance, cost, and reliability

Benefits for you

• Competitive Salary: Attractive compensation package, negotiable based on your skills and experience.
• MacBook Provided: Each employee is equipped with a high-quality MacBook for work.
• Weekends Off (Saturday & Sunday): Ensuring a healthy work–life balance.
• Full Benefits Package: Social insurance and other benefits in accordance with Vietnamese labor law.
• Growth Opportunities: Work in a dynamic and flexible startup environment with strong career development potential.
• Clear Career Path: As a fast-growing startup, you will have opportunities to take on managerial roles or lead teams in a short time once you demonstrate your capabilities.