Skylink Studio

Overview of job

• Design, build, and maintain large-scale data storage systems (Data Warehouse, Data Lake) to support analytics and game product optimization.
• Develop and optimize ETL/ELT pipelines to ensure automatic data collection (streaming or daily), processing, and readiness for use.
• Integrate diverse data sources (game analytics, marketing, monetization) from internal platforms and third-party tools (Firebase, Appsflyer, Unity Analytics, etc.).
• Optimize data processing performance and improve the accuracy and responsiveness of related systems, such as data pipelines and data warehouses.
• Support the creation of dashboards and automated reports for departments like Product, Marketing, and Game Design.
• Collaborate closely with Game Design, UA, and Monetization teams to develop workflows and architecture for data pipelines and data marts, enabling player behavior analysis and enhancing the game experience.
• Ensure data security and compliance with company standards and legal regulations.

• Open, comfortable working environment, encouraging personal development.
• Trained in programming skills according to the lasted international standard 
• Working with large products, international quality and experienced team.
• Have the opportunity to study abroad, at international  conferences about App/Games.
• Salary increases are reviewed regularly based on capacity and work efficiency.
• 13th Month Salary.
• Bonus based on product performance.
• Enjoy all other benefits according to labor laws.
• Annual Travel.

Experience:

• Junior: At least 1 year of experience in a Data Engineer or equivalent role.
• Mid/Senior: 2-4 years of experience designing and implementing large-scale data processing systems.

Skills:

• Proficient in data programming languages: Python, SQL, Scala, or Java.
• Strong knowledge of relational databases (MySQL, PostgreSQL) and non-relational databases (MongoDB, Cassandra).
• Experience with big data processing tools: Hadoop, Spark, or Airflow.
• Familiarity with cloud services (AWS, GCP, Azure), especially tools like Docker, BigQuery, Redshift, or Dataflow.
• Expertise in data modeling, query optimization, and Data Warehouse system design.
• Experience with visualization tools: Tableau, Power BI, or Looker is a plus.

Other Requirements:

• Logical thinking, problem-solving skills, and the ability to work independently.
• Strong teamwork and communication skills, especially with non-technical teams.
• Interest in the gaming industry; candidates with knowledge of game data analytics (churn rate, ARPU, LTV) are preferred.