Data Engineering Lead
4 days ago
Responsibilities:
- Design and develop scalable backend systems and data pipelines that process large volumes of data.
- Collaborate with data engineers and algorithm teams to ensure data is accurately captured, stored, and utilized for analytics and insights.
- Implement best practices for data warehousing, ETL processes, and data integrity.
- Work with the product and business teams to understand changing requirements and proactively adjust the architecture to accommodate these changes.
- Ensure system reliability, scalability, and performance for handling real-time/offline data and large-scale datasets.
Qualifications:
- Bachelor's degree or above, majoring in Computer Science or related fields.
- Strong experience in data applications and data foundations (e.g. data warehouse, big data technologies, OLAP).
- Ability to think critically and to formulate solutions in a clear and concise way. Excellent teamwork skills, communication skills, and project management skills.
- 3+ years of experience in data-related product backend/data development.
About the Company:
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws.
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