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Senior/ Data Engineer

What you'd do:

  • Manage daily operations of patent data including integration, parsing, storage, and backup.
  • Ensure data security, stability, and availability across all systems.
  • Analyze new data requirements and design appropriate data processing solutions.
  • Write documentation and implement code for data processing requirements.
  • Monitor data quality and implement targeted optimization solutions.
  • Continuously improve data integrity and accuracy across systems.
  • Optimize data processing frameworks and enhance system performance.
  • Support rapid product iteration through efficient data handling.
  • Collaborate with data architects on system architecture upgrades.

What they want:

  • Bachelor's degree or above in computer science, data engineering, or related fields.
  • At least 3 years of professional experience in data development.
  • Proficiency in Java or Python with solid programming foundation.
  • Familiarity with big data processing components like Flink and Spark.
  • Familiarity with Linux systems and common operations.
  • Strong sense of responsibility and proactive learning ability.
  • Ability to adapt flexibly in fast-paced environments.
  • Clear thinking with excellent communication and team collaboration skills.
  • Ability to work effectively with diverse cultural backgrounds.
  • Basic understanding of data privacy and compliance requirements.

Nice to have:

  • Experience in performance optimization of data systems.
  • Bachelor's degree or above in computer science, data engineering, or related fields.
  • At least 3 years of professional experience in data development.
  • Proficiency in Java or Python with solid programming foundation.
  • Familiarity with big data processing components like Flink and Spark.
  • Familiarity with Linux systems and common operations.
  • Strong sense of responsibility and proactive learning ability.
  • Ability to adapt flexibly in fast-paced environments.
  • Clear thinking with excellent communication and team collaboration skills.
  • Ability to work effectively with diverse cultural backgrounds.
  • Basic understanding of data privacy and compliance requirements.

See also

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