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Data Warehouse Engineer - Data Platform - TikTok

TikTok

Singapore

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!

Responsibilities: - Design and implement data warehouse architectures, data modeling, and ETL pipeline development. - Optimize data ETL process and resolve technical issues related to large-scale data ETL. - Participate in data governance under complex data link dependencies and diverse data content ecosystems. - Implement data solutions for business scenarios, leveraging ByteDance's robust mid-tier architecture and product systems.

Minimum Qualifications: - Proficiency in data warehouse implementation methodologies, with in-depth understanding of data warehouse systems and experience supporting business scenarios. - Strong coding skills, with proficiency in multiple tools/languages including SQL, Python, Java, Hive, Spark, Kafka and Flink.

Preferred Qualifications: - Data-sensitive, meticulous and adept at identifying anomalies in data. - Strong communication skills and excellent ability in integrating technical expertise with business needs.

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Original posting on TikTok's site ↗

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