Lead Data Engineer, VNGGames

Lead architecture design and technical POCs to evaluate new data technologies and platform capabilities. Build, maintain, and optimize batch and streaming data pipelines and architecture; collaborate closely with the Systems team to develop and enhance infrastructure for the Data Platform. Ensure data accuracy, integrity, and compliance with data management best practices. Develop and maintain ETL frameworks for data integration. Collaborate with tech, business, and leadership to deliver high-impact data solutions. Stay updated with best practices in data engineering and share knowledge with the team. Establish engineering standards and reusable patterns to improve platform scalability and reliability. Provide technical leadership and mentorship for a small team (1–2 engineers), guiding architecture decisions and engineering best practices.

Bachelor’s degree in Computer Science, Data Engineering, or a related field. 7+ years of experience in data engineering (building data pipelines, data models, and data warehouses/lakes). Experience with big data technologies and distributed frameworks (e.g., Spark, Kafka, Apache Iceberg); database systems such as PostgreSQL, ClickHouse, or NoSQL solutions like MongoDB; cloud platforms (e.g., AWS, GCP); and workflow scheduling tools (e.g., Airflow) Strong Kubernetes expertise is required. Strong programming skills (Scala, Python, Golang or Java) and experience in CI/CD pipelines. Knowledge of real-time data and streaming applications. Strong problem-solving skills, attention to detail, and a self-learning attitude. Good communication in English