Big Data Engineer, TikTok Ecommerce Recommendation Infrastructure

TIKTOK PTE. LTD.; Singapore; On-site; SGD 120,000 - 160,000; Full time

Benefits offered by this job

Positive team atmosphere

Career growth opportunity

Paid leave

Job summary

TikTok is expanding its E-commerce Recommendation Infra team to build and optimize the infrastructure for recommendation systems powering TikTok Shop. You will work with ML engineers to create scalable, high-availability data pipelines and storage systems that handle massive datasets.

The role emphasizes designing robust data architectures, implementing scalable storage and computing solutions, and applying ML techniques to derive actionable insights for the platform.

Qualifications

• Bachelor's degree in computer science, software engineering, or related field.
• Familiar with major open source big data frameworks (Hadoop, Hive, Flink, Spark, Kafka, HBase, Redis, ElasticSearch).
• Proficient in Java, C++, and other programming languages.
• Strong coding and troubleshooting ability.

Responsibilities

• Design offline data architecture for large-scale recommendation systems.
• Design and implement scalable, stable storage and computing systems.
• Troubleshoot production systems and ensure stability of operations.
• Build distributed storage and computing infrastructure for massive data.
• Develop analytics apps and use data-oriented languages and visualization tools.
• Apply data mining, NLP, and machine learning to extract insights from large datasets.
• Visualize, interpret, and report data findings.

Skills

Java

C++

Troubleshooting

Big data concepts

Education

Bachelor's degree in CS or related field

Tools

Hadoop

Hive

Flink

Spark

Kafka

HBase

Redis

ElasticSearch

Job description

About 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 we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Job highlights

• Positive team atmosphere
• Career growth opportunity
• Paid leave

Responsibilities

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 most stable and 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.

The team is responsible for system stability and high availability, online services and offline data flow performance optimization, solving system bottlenecks, reducing cost overhead, building data and service mid-platform, realizing flexible and scalable high-performance storage and computing systems.

Responsibilities

• Design and implement a reasonable offline data architecture for large-scale recommendation systems
• Design and implement flexible, scalable, stable 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 dynamic data reports as well

Qualifications

Minimum Qualifications

• Bachelor's degree or above in computer science, software engineering, or a related field
• Familiar with many open source frameworks in the field of big data, e.g.Hadoop, Hive,Flink, FlinkSQL,Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch etc.
• Familiar with Java, C ++ and other programming languages
• Strong coding and trouble shooting ability