Senior Data Engineer (Content Management Systems)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Data Engineer (Content Management Systems): Designing and operating China-local content management and data processing systems with an accent on scale, data quality, and regulatory compliance. Focus on building high-volume data pipelines, implementing ETL/ELT processes, and integrating enterprise systems with third-party platforms.
Location: Shanghai, China
Company
is a global information analytics company that provides technology and analytics solutions to the research, academic, and clinical communities.
What you will do
- Design, implement, and maintain production-grade backend services and data pipelines in cloud environments (AWS or Alibaba Cloud).
- Build and operate pipelines for high-volume scholarly content, handling XML and semi-structured formats.
- Implement ETL/ELT processes, including metadata extraction, transformation, validation, and deduplication.
- Integrate internal systems with third-party platforms via REST, SOAP, JSON, and XML APIs.
- Ensure strict compliance with China regulatory requirements, including the Cybersecurity Law and PIPL.
- Optimize system performance and reduce manual operations through engineering automation and observability.
Requirements
- 5+ years of professional experience as a software engineer focusing on backend or data-intensive systems.
- Bachelor's degree or above in Computer Science, Software Engineering, or a related field.
- Strong programming skills in Python or Java and advanced SQL/relational database expertise.
- Hands-on experience with Snowflake, Databricks, Spark, and Kafka.
- Experience with NoSQL databases (MongoDB, Cassandra) and containerization (Docker, Kubernetes).
- Reading/Writing and oral English proficiency for technical reviews and communication with global teams.
Nice to have
- Experience with machine learning tools (TensorFlow, SageMaker) or AI Agents development.
- Knowledge of search platforms such as Elasticsearch and the ELK stack.
- Understanding of data medallion (Bronze/Silver/Gold) architecture.
- Familiarity with data compliance standards like GDPR or HIPAA.
Culture & Benefits
- Promotes a healthy work/life balance with flexible working hours.
- Comprehensive Medical and Life Insurance.
- Paid Time Off, including annual leave, family care leave, and public holidays.
- Wellbeing initiatives including long-service awards and gifts for birthdays, festivals, and family events.
- Support for long-term professional growth through study assistance and sabbaticals.
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