CA
CP Axtra
Data Engineer

Data Team Lead or Senior Data Engineer(Good English)

On-siteSeniorData Engineerposted 3mo ago
✦Role summaryAI-generated

Senior Data Engineer role at CP Axtra in Hangzhou requiring expertise in designing scalable data pipelines, cloud-based infrastructure, and cross-functional collaboration with HQ teams to ensure reliable data processing and storage solutions.

Skills required

About this role

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

Requirements

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

Benefits

  • 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

✕ position closed

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