Big Data Engineer - TikTok job opportunity at Tiktok.



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Tiktok Big Data Engineer - TikTok
Experience: 3-years
Pattern: full-time
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degreeBachelor's (B.Sc.)
Singapore

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. 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. __ Team Introduction The mission of the Data Platform Singapore Business Partnering (DPSG BP) team is to empower the TikTok 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 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 - 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 - 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.

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