Senior Data Engineer

Top 3 reasons to join us

• Young & Dynamic Environment
• Large-scale Product
• New and Challenging product

Job description

Qualgo is more than just a tech company; we’re a movement to build a safer, more trustworthy digital Vietnam. We believe everyone deserves to connect, communicate, and transact online without fear. Our innovative platform, powered by AI and advanced security technologies, provides a secure cyberspace for Vietnamese individuals and businesses, empowering them to embrace the full potential of the digital age. We are deeply committed to supporting Vietnam’s national digital transformation. 

Job Summary

As a Senior Data Engineer, you will play a crucial role in designing, building, and maintaining the core data infrastructure that powers Qualgo’s products and data-driven initiatives. You will be responsible for developing scalable data pipelines, managing our data warehouse and data lake environments, and ensuring data quality and reliability. You will work closely with data scientists, analysts, software engineers, and product teams to understand their data needs and provide them with the necessary tools and infrastructure. This is a hands-on role requiring deep technical expertise, strong problem-solving skills, and the ability to learn and apply new technologies. 

Key Responsibilities

• Data Pipeline Development: Design, build, and optimize robust batch and streaming pipelines using tools like Apache Spark, Flink, and Airflow. 
• Data Crawling & Ingestion: Build scalable back-end services to crawl, ingest, and normalize data from web sources, APIs, databases, and flat files. 
• Data Quality & Governance: Implement frameworks and tools (e.g., OpenMetadata, Collibra) to enforce data integrity, security, and compliance with Vietnamese data regulations. 
• Data Modeling & Design: Define scalable data models and schemas using best practices (e.g., Kimball, Data Mesh, Data Fabric). 
• Collaboration: Work with data scientists, analysts, engineers, and product teams to ensure the availability, usability, and performance of data pipelines. 
• Monitoring & Troubleshooting: Proactively monitor data systems and resolve issues swiftly to ensure reliability and performance. 
• Documentation: Create clear, comprehensive documentation for pipelines, tools, and processes. 
• Mentorship: Support and guide junior data engineers through reviews, pairing, and best practices. 
• Technology Evaluation: Stay updated on the latest technologies and recommend tools that improve data engineering workflows and scalability.

Your skills and experience

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Required: 
  • 5+ years of hands-on experience in data engineering roles. 
  • Proficiency in Python, Java, or Scala for data pipelines and back-end services. 
  • Deep SQL knowledge and experience with relational databases (e.g., PostgreSQL, MySQL). 
  • Solid experience building crawling or ingestion systems for structured and unstructured data. 
  • Experience with streaming and messaging platforms (e.g., Kafka, NATS). 
  • Experience with workflow orchestration tools (e.g., Apache Airflow, AWS Step Functions, Google DataFlow). 
  • Experience with cloud platforms (AWS, GCP, Azure) and services like S3, BigQuery, Redshift, EMR, Glue, etc. 
  • Understanding of data warehousing concepts and tools (e.g., ClickHouse, BigQuery, Snowflake). 
  • Familiarity with data modeling, data lake architecture, and modern ELT/ETL best practices. 
  • Fluency in English. 
• Nice to Have: 
  • Exposure to NoSQL and graph databases (e.g., Neo4j, MongoDB, Redis). 
  • Experience with Docker and Kubernetes for containerized deployment. 
  • Background in Agile development practices. 
• Soft Skills: 
  • Strong problem-solving mindset with the ability to work independently. 
  • Excellent communication skills—able to work effectively with both technical and non-technical teams. 
  • Collaborative team player, mentor, and proactive contributor. 

Why you'll love working here

• Competitive salary and benefits package.
• Opportunity to work on a product that impacts millions of users.
• A dynamic and supportive work environment.
• Premium health insurance for you and your family.
• Professional growth and development opportunities.
• Annual leave 12 - 14 days per year + 1 Birthday Leave + 1 X’Mas
• Performance review: once per year
• Internal training/sharing and professional Training courses
• Team building, company trip, year end party, monthly activities,….
• Devices: Macbook and screen (If needed)
• Free tea and coffee
• Comfortable working Area
• Working hour: 9am – 6pm from Monday to Friday