- Develop and maintain highly scalable, real time data analytics platform.
- Design, develop and maintain highly scalable, real time content personalization platform.
- Design, develop and maintain highly scalable machine learning systems for deep learning.
- Deliver high quality, efficient, modular, well-tested, highly scalable code.
- Debug and resolve bugs in a complicated and interconnected software ecosystem.
- Mentor and provide technical leadership to development team, perform code review, evaluate and recommend software tools.
- Help develop processes, methodologies and best practices to improve team efficiency.
- Work with systems administration team to project, plan and design systems infrastructure to meet application needs.
- 5+ years of hands of enterprise scale server side Java development experience, especially in analytics and personalization.
- Experience developing highly scalable, real-time analytics platform.
- Experience developing real time data computation pipelines.
- Experience developing personalization models and machine learning systems.
- Familiarity with big data computation and storage frameworks such as Hadoop, Spark, Redis, Elastic Search, Kafka, Hive etc.
- Strong data modelling skills in both relational and NoSQL databases, including MySQL, Neo4J and Cassandra etc.
- Familiarity with common software development environments and tools, including Subversion, CVS, Git, Maven, ANT etc.
- Flexible and creative problem solver with strong analytical skills, able to visualize elegant solutions to complex problems.
- Must be a good team player and leader, with strong interpersonal and communication skills.
- It would be a big plus if you can travel to and work in Jakarta (Indonesia) for several months
How to apply
Please send your CV (in English) to
- Khuyen Le (Mr): email@example.com or
- Nhi Ha (Ms): firstname.lastname@example.org or
- Duong Le (Ms): email@example.com or
- Dat Pham (Mr): firstname.lastname@example.org
Via “apply now” button below
If you dont see any feedback after 24 hours, please dont hesitate to submit a report to email@example.com
Thank you very much!
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