Data Engineer Graduate (Data Platform E-commerce) - 2027 Start

As a data engineer in the Data Platform E-Commerce team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You ll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem. Your work will have a direct and huge impact on the company s core products as well as hundreds of millions of users.

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities - What You ll Do

• Design and build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, multi-dimensional analysis);
• Design and implement reliable, scalable, robust and extensible big data systems that support core products and business;
• Establish solid design and best engineering practice for engineers as well as non-technical people. Minimum Qualifications:
• Individuals who are completing or have recently completed a Bachelor s degree in Computer Science, Computing Engineering or a related discipline.
• Experience in the Big Data technologies(Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc.);
• Experience with performing data analysis, data ingestion and data integration;

Preferred Qualifications:

• Individuals who are completing or have recently completed a Master s degree in Computer Science, Computing Engineering or a related discipline.
• Experience with ETL(Extraction, Transformation & Loading) and architecting data systems;
• Experience with schema design, data modeling and SQL queries;
• Passionate and self-motivated about technologies in the Big Data area.