As a Data Engineer, you will function as a Software Engineer (Data) and work closely with other machine learning (ML), backend and frontend engineers, QA team, design team, and tech team leads in your product stream. Your role will entail designing, developing, and maintaining systems that gather, store, and analyze data for a big data analytics cloud platform to meet digital transformation and enterprise initiatives in the short, medium, and long term. A Data Engineer is an expert in building solutions that acquire, manage, and transform raw data into valuable insights for data science and analytical applications across various environments.
Responsibilities
Design and implement industry-leading distributed systems;
Implement high-performance storage and computing systems;
big data systems that supports large-scale data and products different purposes (e.g., Recommendation, ML, NLP, CV, reporting, growth analysis, multi-dimensional analysis);
Troubleshooting production systems, identify application code related issues;
Peta Byte data processing;
Over 5 years experience in programming languages;
5 years or more experience with high quality data systems and big data technologies;
Architecture data systems, data ingestion, query optimization, data segregation, ETL;
Modern software development such as Scrum, Kanban and XP.
Qualifications and Requirements
Master\'s or Bachelor\'s in computer science or relevant discipline with 5 or 8+ years of industry experience
Thank you for your interest. All applications are viewed and evaluated according to the role requirements. We aim to contact shortlisted candidates within 2 weeks. As we often receive a high volume of applications, we are unable to reply to everyone. If you have not heard back from us within two weeks, please consider your application unsuccessful.