Data Engineer
Description
Level Infinite is Tencent’s global gaming brand. It is a global game publisher offering a comprehensive network of services for games, development teams, and studios around the world. We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games.
Responsibilities
- Design, build, and maintain efficient, scalable data architectures and pipelines.
- Process and transform large-scale datasets, ensuring data quality and integrity.
- Optimize ETL processes to enhance data processing efficiency and reliability.
- Collaborate with the data analytics team to provide necessary data support, ensuring timeliness and accuracy.
- Work with product and engineering teams to drive data-driven decision-making and product optimization.
- Design and implement data warehouse solutions, supporting both data lake and data warehouse architectures.
- Ensure data security, privacy, and compliance, adhering to best practices in data management.
Requirements
- Bachelor’s degree or higher in Computer Science, Information Technology, Data Science, or a related field.
- At least 2 years of experience in data engineering, with hands-on experience in big data processing and pipeline design.
- Proficient in SQL, with the ability to handle complex queries and optimizations.
- Familiarity with big data technologies such as Spark, Hive, Flink, Kafka, etc.
- Proficient in programming languages such as Python or Java, with good coding practices.
- Experience with database design, data warehousing, and ETL tools (such as Airflow, Luigi).
- Familiarity with cloud platforms (AWS, Azure, GCP) and data lake technologies (Iceberg, Delta Lake).
- Strong communication and teamwork skills, with the ability to collaborate with cross-functional teams and drive project progress.
- Bonus: Experience in data quality, data governance, or related fields.
