Data Warehouse Engineer (Global Live) - TikTok
TikTok
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.
Requirements
Minimum Qualifications:
- BS or MS 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 Qualifications:
- Experience with schema design, data modeling and SQL queries;
- Passionate and self-motivated about technologies in the Big Data area.
Skills
- Data analysis
- Apache
- Kafka
- Logistics
- Spark
- SQL

