Data Quality Assurance Engineer - Data Platform

ta Business Partner (BP) Quality Assurance Team is to build a highly robust(standardized/professional/efficient) data quality system, ensuring the better delivery of data. Our goal is to safeguard the quality of data throughout the entire lifecycle in terms of timeliness, accuracy, and stability, empowering the enterprise's decision-making capabilities, market competitiveness, and operational efficiency. Team members possess rich backgrounds in big data technology and quality experience, along with keen data insight and a forward-looking technological perspective. We look forward to your contribution and joining our team

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.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.