Job Description: 

• Assist in designing, building and optimizing the data platform.

• Implement data integration and pipelines to support data projects across different business units.

• Ensure tools, processes, and services are well-designed, scalable, and reliable.

• Participate in architecture, coding, testing, project planning, deployment, operation and documentation.

• Realize data requirements, automate workflows, and streamline development processes.

• Communicate with stakeholders to gather requirements and discuss technical solutions.

Job Requirements: 

• 2+ years of experience in data engineering or a related field

• Must be proficient in Python and SQL. Knowledge of other programming language is a plus

• Understanding of modern data architecture and concepts

• Experience in building data lake, data warehouse, ETL pipelines, data models

• Hands-on experience with data stack on cloud (e.g. S3, Redshift, EMR, Kinesis, DynamoDB, BigQuery, Dataflow).

• Knowledge in big data framework (e.g. Spark) is a plus

• Knowledge in DevOps (e.g. git, CICD, IaC) is a plus

• Exposure to Agile/Scrum methodologies and SDLC practices.

• Ability to learn on-the-fly and take ownership

  - Strong communication skill and ready to embrace ambiguity.

• Passionate in problem solving and creating value from data

• Effective verbal and written communication in English and Chinese.

• Fresh graduate will also be considered.

*This position is part of the opportunities available at our GBA Event. Attend the event to connect with hiring managers and explore your next career move.