Big Data Engineer Graduate

2 weeks ago

Singapore TikTok Pte. Ltd. Full time

Responsibilities Team Introduction Our Data Platform Business Partnering team is at the core of TikTok E-Commerce business, responsible for generating tremendous amount of data and providing accessing services and applications. We empower many business & engineering teams to analyze and develop innovative strategies and products driving business growth. We are looking for passionate and talented backend engineers to join us to drive the future of E-Commerce together. We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok. Successful candidates must be able to commit to an onboarding date by end of year 2026. 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 TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis we encourage you to apply early. Responsibilities: Translate business requirements & end to end designs into technical implementations and responsible for building batch and real-time data warehouse. Manage data modeling design, writing, and optimizing ETL jobs. Collaborate with the business team to building data metrics based on data warehouse. Building and maintenance of data products. Involvement in rollouts, upgrades, implementation, and release of data system changes as required for streamlining of internal practices. Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software. Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets. Visualise, interpret, and report data findings, along with creation of dynamic data reports. Qualifications Minimum Qualifications: Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Solid computer basic knowledge (e.g. data structure & algorithms, SQL and networks). Strong coding capabilities and mastering at least one programming language (e.g. C/C++/Java/Python/Golang). Preferred qualifications: Passionate about data warehouse, ETL development, data analysis and E-Commerce. Good communication skills and a fast learner of new business and technology knowledge. Strong collaboration skills with the ability to build rapport across teams and stakeholders. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: If you have any questions, please reach out to us at #J-18808-Ljbffr

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