Urgent! Big Data Engineer Intern (TikTok Ecommerce Recommendation Infrastructure) - 2025 Start Job Opening In Singapore, Singapore – Now Hiring TikTok
TikTok is the leading destination for short-form mobile video.
At TikTok, our mission is to inspire creativity and bring joy.
TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Creation is the core of TikTok's purpose.
Our platform is built to help imaginations thrive.
This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team.
Status quo?
Never.
Courage?
Always.
At TikTok, we create together and grow together.
That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.
About the Team
E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation.
Our E-ecommerce Recommendation Infra team is responsible for building up and optimizing the infrastructure for such recommendation systems, so as to provide the best experience for our users.
We work closely with applied machine learning engineers and build scalable systems to support all kinds of innovative algorithms and techniques.
We are looking for talented individuals to join us for an internship in 2025.
Internships at TikTok aim to offer students industry exposure and hands-on experience.
Watch your ambitions become reality as your inspiration brings infinite opportunities at TikTok.
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.
Successful candidates must be able to commit to at least 3 months long internship period.
Responsibilities
- Design and implement a reasonable offline data architecture for large-scale recommendation systems
- Design and implement flexible, scalable and high-performance storage and computing systems
- Trouble-shooting of the production system, design and implement the necessary mechanisms and tools to ensure the stability of the overall operation of the production system
- Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive data and large-scale business systems
- 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 and may create data reports as well
Minimum Qualifications:
- Undergraduate, or Postgraduate who is currently pursuing a degree/master in Computer Science, Computer Engineering, Information Systems or a related technical major;
- Familiar with many open source frameworks in the field of big data, , Hive,Flink, FlinkSQL,Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch etc.
- Familiar with Java, C ++ and other programming languages
- Strong coding and trouble shooting ability Preferred Qualifications:
- Agile, quick self learner, highly self-motivated with strong sense of product ownership and creative problem solver.
- Good collaborator and team player, comfortable working in a fast moving, culturally diverse and globally distributed team environment.
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Unlock Your Big Data Potential: Insight & Career Growth Guide
Real-time Big Data Jobs Trends in Singapore, Singapore (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Big Data in Singapore, Singapore using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 5299 jobs in Singapore and 4843 jobs in Singapore. This comprehensive analysis highlights market share and opportunities for professionals in Big Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! TikTok is currently hiring and seeking a Big Data Engineer Intern (TikTok Ecommerce Recommendation Infrastructure) 2025 Start to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Big Data Engineer Intern (TikTok Ecommerce Recommendation Infrastructure) 2025 Start Jobs Singapore.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at TikTok adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Big Data Engineer Intern (TikTok Ecommerce Recommendation Infrastructure) 2025 Start Jobs Singapore varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Big Data Engineer Intern (TikTok Ecommerce Recommendation Infrastructure) 2025 Start typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Big Data Engineer Intern (TikTok Ecommerce Recommendation Infrastructure) 2025 Start interview at TikTok, research the company, understand the job requirements, and practice common interview questions.
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