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Data Warehouse Engineer (Global Live) - TikTok
Job description
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 build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, multi-dimensional analysis).
- Design and implement reliable, scalable, robust and extensible big data systems that support core products and business.
- Establish solid design and best engineering practice for engineers as well as non-technical people.
Qualifications
- Bachelor or Master's degree in Computer Science or related technical field or equivalent practical experience.
- Experience in the Big Data technologies(Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc.).
- Experience with performing data analysis, data ingestion and data integration.
- Experience with ETL(Extraction, Transformation & Loading) and architecting data systems.
Preferred Qualification(s):
- Experience with schema design, data modeling and SQL queries.
- Passionate and self-motivated about technologies in the Big Data area.
Description copied from TikTok's careers page. Read the full posting before you apply.
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