About Us:
A leading global technology conglomerate renowned for its extensive ecosystem of digital services and platforms. With a strong presence in cloud computing, gaming, social media, and enterprise solutions, the organization supports millions of users and businesses worldwide. It emphasizes innovation, scalability, and security, making it a key player in driving digital transformation across various industries.
Job Description:
- Design, develop, and maintain offline and real-time ETL pipelines for the game advertising domain, including performance tuning and scalability improvements.
- Analyze ad conversion performance and produce customized/personalized reports and dashboards.
- Build and maintain Python-based backend systems for data crawling, web scraping, and data ingestion
Job Requirement:
- Bachelor's Degree in Computer Science, Data Engineering or related courses
- 1+ years of working experience in data engineering filed
- Good understanding of various types of databases, including relational databases and distributed databases
- Good understanding of Python/Java, SQL, HiveQL/SparkSQL and the relevant best practices/ techniques for perf tuning
- Good analytical and technical skills in building batch/streaming data pipelines for big data, with experience using big-data processing engine like spark/flink/hive
- Business proficiency (written and spoken) in Mandarin to communicate both verbally and in writing with non-English speaking counterparts based in China for gathering requirements and analysis
