Big Data Engineer

2 weeks ago

Singapore TIKTOK PTE. LTD. Full time

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.

**About the Ads Data team**

The Ads Data team provides tools and services to deliver ad data to millions of internal and external clients all around the globe. The team has end-to-end ownership of ad data's lifecycle including data ETL, data warehouse and data services. We leverage data technologies to advice local customer support teams and help global advertisers make wiser investment decisions on our Advertising Platform.

Ads Data is the cornerstone of every business decision that millions of advertisers make every day on our platform. Therefore, we are tasked with innovating on daily basis to create and maintain complex systems at large scale and continue expanding the capacity to better serve advertisers growing at exponential pace.

You will share in the ownership of the technical vision and direction for advanced Ads Data products. You will be a part of a team of top notch technical professionals developing scalable systems and with a focus on sustained operational excellence. Members of this team will be challenged to innovate using cutting edge technologies. We are looking for people who are highly motivated by aiming for the highest, moving fast, and changing the way customers use data to drive profitability.

**Responsibilities**
- Translate business requirements into technical implementations and responsible for building batch and real-time data warehouse;
- Design, build and launch real-time/batch data models/pipelines in production;
- Build up data marts and own data quality for business areas;
- Support existing real-time/batch systems in production, solve on-call issues;
- Define and manage SLA for all data sets in business areas;
- Support daily project management, assist junior engineers in business and technical problems.

**Qualifications**
- Final year or recent graduate with a background in Computer Science or other related fields;
- Experience working with big data technologies such as Hadoop, Hive, Spark, etc.;
- Experience with schema design and dimensional data modelling;
- Experience in custom ETL design, implementation and maintenance;
- Proficient in at least one programming language such as Python, Java or C++;
- Good communication skills, including the ability to identify and communicate data driven insights.

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