Senior Data Engineering Manager
3 weeks ago
About the Team
At TikTok, our data business model relies heavily on a large volume of high-quality labeled data. To address the scalability and cost issues of data labeling, we established the Data Solutions team. Our team leverages both quantitative and qualitative data to guide insights and turn findings into real products that drive exponential growth. We are responsible for infrastructure construction, recognition capabilities management, and global labeling delivery management.
About the Role
As a Lead Data Engineer, you will be responsible for building and leading a high-performing data engineering team. You will work on cutting-edge challenges in the big data and AI industry, requiring strong passion and capability for innovation. You will collaborate closely with cross-functional teams to understand business requirements and translate them into technical solutions. Additionally, you will provide technical guidance, mentorship, and support to team members.
Key Responsibilities
1. Design and implement efficient, scalable, and reliable data pipelines and infrastructure for ingesting, processing, and transforming large volumes of data.
2. Develop a technical strategy and roadmap for data engineering projects in alignment with business objectives, actively evaluating and bringing in industry best practices, and timely updating the strategy according to the rapid change of the industry.
3. Build and lead a high-performing data engineering team with a clear strategy, providing business, technical, and personal development coaching.
4. Own and drive data engineering projects by leveraging both internal and cross-functional resources, setting meaningful and challenging targets, and achieving them with innovative approaches.
5. Foster a collaborative and inclusive team culture within and across teams.
Minimum Qualifications
1. Bachelor's or Master's degree in Computer Science, Engineering, or related field.
2. 3 years of experience in data engineering, with demonstrated expertise in building scalable data pipelines and infrastructure.
3. Proficiency in programming languages such as Python, SQL, and Java.
4. Experience with big data technologies such as Apache Spark, Hadoop, and Kafka.
Preferred Qualifications
1. Strong understanding of database systems, data warehousing, and distributed computing concepts.
2. Excellent leadership, communication, and interpersonal skills.
3. Proven track record of leading teams and delivering complex data engineering projects.
4. Ability to thrive in a fast-paced environment and manage multiple priorities effectively.
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