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Company Overview
A global social media platform centered around short-form video content allows users to create, watch, and share short videos, typically ranging from a few seconds to three minutes (though some users can now post longer videos). It’s known for its personalized feeds, ease of video creation with built-in music, sound effects, filters, and special effects, and its highly engaging nature. In China, a separate version of the app with similar functionality caters to the Chinese audience.
Data Quality Assurance Engineer – Data Platform
What you will be doing:
- Responsible for quality assurance work in offline/real-time data warehouses and data engineering, building a quality assurance system.
- Develop comprehensive test plans and testing strategies based on actual business requirements, ensuring data accuracy and maintaining data engineering quality.
- Quickly develop testing tools or platforms based on testing needs to improve business delivery efficiency.
- Able to identify data system risks comprehensively, ensuring data system stability through means such as performance testing and online monitoring.
- In-depth understanding of the business, communicate and collaborate with various roles in data business, create value for the business, and work without boundaries.
- Update software, enhances existing software capabilities and develops and direct software testing and validation procedures.
Qualifications
Minimum Qualifications:
- Bachelor’s degree or above in computer science, mathematics, statistics, or related fields.
- At least 2 years of experience in testing development/development work, with a preference for experience in big data testing and data engineering service testing.
- 2 years experience in using one programming language (JAVA/Go/python) for tool development, skilled in using SQL, and preferably with independent experience in platform tool development.
- Familiarity with common big data technologies such as Yarn, Spark, HDFS, understanding of data ETL processes, good literacy and foundation in mathematical analysis
- Strong initiative, sense of responsibility, and ability to work under pressure are required.
Preferred Qualifications:
- 5 years of experience in testing development/development work, with a preference for experience in big data testing and data engineering service testing.
- 5+ years of experience working in a complex, matrixed organization involving cross-functional, and/or cross-business projects
- Experiences in data platform related product development or big data technologies (such as Hadoop, Clickhouse, Flink etc.)
- Sensitivity to data, excellent logical thinking, analytical skills, business understanding, communication skills, and presentation abilities.
- Solid background in statistics, data mining, and modeling are preferred.
Disclaimer
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