Data Engineer

1 week ago

Singapore TikTok Full time

Overview
Data Engineer - Global E-Commerce (Governance Service - Risk Control Platform). Global E-Commerce is a content e-commerce business with international short video product as the carrier. It is committed to becoming the first choice for users to discover and purchase good products with affordable prices. The Global E-Commerce Risk Control Team is committed to combating risks with groups in the underground black industry, building a risk protection system for the platform, identifying current and future risk trends through human–machine collaboration, and promoting the prevention and control of business to support the rapid development of TikTok's e-commerce business.
We are seeking passionate data engineers with strong problem-solving abilities to work with cross-functional partners (business operations, data science, engineering, and product management) to efficiently solve challenging data development and construction tasks. You will contribute to the company’s core business, and your daily work will impact the company’s and customers’ financial security and business strategic planning.
Responsibilities
Collaborate closely with product managers, strategic operations, internal engineering teams, and other stakeholders to understand data requirements and deliver data solutions that meet business needs.
Evaluate, implement, and maintain data infrastructure tools and technologies to support efficient data processing, storage, and querying.
Design, build, and optimize scalable data pipelines to ingest, process, and transform large volumes of data for analytical queries and reporting.
Ensure data integrity, accuracy, and consistency by implementing data quality checks, validation processes, and monitoring mechanisms.
Continuously optimize data pipelines, queries, and processes to improve performance, reduce latency, and enhance scalability.
Build and maintain data assets for the risk control business, serving as a foundation for engineering and product applications.
Qualifications
Minimum Qualifications
Bachelor’s or higher degree in Computer Science, Information Technology, Programming & System Analysis, Science (Computer Studies) or related discipline.
At least 5 years of experience as a data engineer or in a similar role supporting data-centric businesses.
Solid knowledge of SQL and experience with relational and non-relational databases.
Proficiency in at least one programming language such as Python, Java, or Go.
Strong data modeling, data warehouse concepts, data integration, and ETL/ELT technologies.
Effective communication and collaboration skills with cross-functional teams.
Excellent problem-solving skills, attention to detail, and ability to thrive in a fast-paced environment.
Preferred Qualifications
Experience with big data technologies (e.g., Hadoop, Spark, Kafka, Flink) and handling data from TB to PB levels.
Experience in data governance, e-commerce data, data privacy, and compliance.
Experience in cross-border,

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