Data Engineer

• Collect data from events on mobile platforms and process this data in preparation for transformation and analysis.
• Design and maintain data transformation jobs using tools and languages like Airflow, Python, and Spark.
• Collaborate with the data analysis team to determine necessary reports and data analysis requirements.
• Develop and maintain analytic reports based on transformed data stored in the Data Warehouse.
• Ensure stability and high performance for data processing procedures and analytic reports.
• Think critically and propose data collection, processing, and storage improvements to optimize performance and scalability.
• Other tasks may be assigned upon request by the Manager.

• At least 2 years of experience in a similar role. 
• Proficient use of the Python programming language for data handling and transformation.
• Knowledge in building complex data processing workflows using Apache Spark.
• Proficiency in writing complex SQL queries.
• Familiarity with database design principles and ETL (Extract, Transform, Load) processes.
• Basic understanding of Spring Boot for creating APIs serving reports.
• Experience with ClickHouse, and Apache Airflow is a plus

Personality Requirements:

• Hard-working, responsible, and strong interpersonal and communication skills.
• Ability to work independently and in teamwork and can work under high pressure.