Data Engineer for Privacy and Data Protection

19 hours ago


San Jose, California, United States Tik Tok Full time
About the Company
TikTok is the leading destination for short-form mobile video. With its global headquarters in Los Angeles and Singapore, and offices in various locations worldwide, TikTok's mission is to inspire creativity and bring joy.

As a company that values diversity and inclusivity, TikTok is committed to creating an environment where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe, and so does our workplace.

About the Role
We are seeking an experienced Data Engineer to join the Risk and Governance organization within PDPO to utilize big data techniques in building solutions to help envision TikTok's privacy evolution. You will be expected to conduct rigorous data investigations, develop scalable data solutions, and build deep domain knowledge in privacy and data protection from your day-by-day work.

Responsibilities
- Work as Centralized Data Experts (CDE) to conduct impact sizing analysis during critical privacy incident investigation and response to data requests from media or regulators.
- Design and build systematic data solutions and standardized data runbooks to improve efficiency and ensure accuracy for incident and inquiry response.
- Sort out data inventories across the whole company in different formats and platforms to develop scalable monitoring systems that detect Privacy Risks and establish automated alerts.
- Develop data pipelines to automate metrics reporting, drive metrics to improve Operational Excellence.
- Conduct data investigation, data mining to find root causes, patterns, and trends for privacy risks, and develop improvement or remediation plans for data protection.
- Establish solid design and best engineering practice for data access controls and management.
- Collaborate with various XFN teams within the PDPO department and across organizations (e.g., legal, security, engineering, and product) to drive various projects on privacy and data protection.

Qualifications
- Estimated salary: $140,000 - $160,000 per year.
- BS or MS degree in Computer Science, Engineering, Analytics, mathematics, or related technical field or equivalent practical experience.
- Hands-on experience and deep understanding of various Big Data technologies (Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink, etc.).
- Proficient in SQL, Python, Schema design, ETL (Extraction, Transformation & Loading).
- Experience with data visualization tools or platforms (e.g., Dashboards, Tableau, etc.).
- Strong communication and project management skills. Be comfortable working with a large number of XFNs to lead and drive projects at different stages.

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