Remote/based in Hangzhou -- Data Team Lead or Senior Data Engineer(Good English)
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Remote/based in Hangzhou -- Data Team Lead or Senior Data Engineer(Good English)
Location
Hangzhou, Zhejiang Sheng, China
Experience
Senior
Posted
Jul 10, 2026
Apply by
August 9, 2026
Applicants
0
Early applicantFull-timeWork from Office
Job Description
Job Summary:
This is the contact point for the local team to work closely with the headquarter teams. We are seeking an experienced Senior Data Engineer to design, implement, and maintain our data infrastructure and pipelines. The ideal candidate will have a strong background in data engineering, big data technologies, and cloud platforms. You will work closely with data scientists, analysts, and other stakeholders to ensure efficient and reliable data processing and storage solutions and who has mind set things to done
Key Responsibilities:
Design, develop, and maintain scalable data pipelines and ETL processes
Implement and optimize data storage solutions, including data warehouses and data lakes
Collaborate with data scientists and analysts to understand data requirements and provide efficient data access
Ensure data quality, consistency, and reliability across all data systems
Develop and maintain data models and schemas
Implement data security and access control measures
Optimize query performance and data retrieval processes
Evaluate and integrate new data technologies and tools
Mentor junior data engineers and provide technical leadership
Collaborate with cross-functional teams to support data-driven decision-making
Bachelor's or master's degree in computer science, Engineering, or a related field
7+ years of experience in data engineering or related roles
Strong programming skills in Python, Java, or Scala
Extensive experience with big data technologies such as Hadoop, Spark, and Hive
Proficiency in SQL and experience with both relational and NoSQL databases
Experience with cloud platforms (AWS, Azure,) and their data services
Knowledge of data modeling, data warehousing, and ETL best practices
Strong problem-solving skills and attention to detail
Excellent communication and collaboration skills as well
Preferred Qualifications:
Experience with stream processing technologies (eg Kafka, Flink or delta live table )
Familiarity with data governance and compliance requirements
Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)
Contributions to open-source projects or relevant certifications
Experience in Tencent big data platform
Experience in PowerBI will be preferable
- 16~20 days of fully-paid annual leaves
- Full social insurance and housing fund
- Year-end bonus
- WLB
- No business trip
### Best Culture
Clear focus.
Diverse Workplace (Our members are from around the world!)
Non-hierarchical and agile environment
Growth opportunity and career path
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL processes
- Implement and optimize data storage solutions including data warehouses and data lakes
- Collaborate with data scientists and analysts to understand data requirements
- Ensure data quality, consistency, and reliability across all data systems
- Develop and maintain data models and schemas
- Implement data security and access control measures
- Optimize query performance and data retrieval processes
- Evaluate and integrate new data technologies and tools
- Mentor junior data engineers and provide technical leadership
- Collaborate with cross-functional teams to support data-driven decision-making
Requirements
- Bachelor's or master's degree in computer science
- Engineering
- or a related field
Skills Required
PythonJavaScalaHadoopSparkHiveSQLRelational databasesNoSQL databasesAWSAzureData modelingData warehousingETLProblem-solvingAttention to detailCommunicationCollaborationLeadershipKafkaFlinkDelta Live TableDockerKubernetesPowerBITencent big data platform
Benefits
- 16~20 days of fully-paid annual leaves
- Full social insurance and housing fund
- Year-end bonus
- Work-life balance
- No business trip
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