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Data Engineer, TikTok e-Commerce at ByteDance (Singapore)
Posted: 345 days ago
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About TikTok
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul, and Tokyo.
Team Introduction
The mission of the Data Platform Singapore Business Partnering (DPSG BP) team is to empower the TikTok e-commerce business with data. Our goal is to build a Data Warehouse that can cater to batch and streaming data, Data Products that provide useful information to build efficient data metrics & dashboards which will be used to make smarter business decisions to support business growth. If you're looking for a challenging ground to push your limits, this is the team for you!
Qualifications
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul, and Tokyo.
Team Introduction
The mission of the Data Platform Singapore Business Partnering (DPSG BP) team is to empower the TikTok e-commerce business with data. Our goal is to build a Data Warehouse that can cater to batch and streaming data, Data Products that provide useful information to build efficient data metrics & dashboards which will be used to make smarter business decisions to support business growth. If you're looking for a challenging ground to push your limits, this is the team for you!
- Translate business requirements & 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 the data warehouse
- Responsible for building and maintaining data products
- Involvement in rollouts, upgrades, implementation, and release of data system changes as required for streamlining of internal practices
Qualifications
- At least 3 years in software engineering and 2 years of relevant experience in data engineering
- Proficient in creating and maintaining complex ETL pipelines end-to-end while maintaining high reliability and security
- Familiar with data warehouse concept and have production experience in modeling design
- Familiar with at least 1 distributed computing engine (e.g. Hive, Spark, Flink)
- Familiar with at least 1 NoSQL database is a plus (e.g. HBase)
- Excellent interpersonal and communication skills with the ability to engage and managing internal and external stakeholders across all levels of seniority
- Strong collaboration skills with the ability to build rapport across teams and stakeholders
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