Data Engineer

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Responsibilities

  • Develop and maintain data pipelines to collect and store large amounts of data from various sources
  • Design and build data storage and management systems such as data warehouses and data lakes
  • Perform data cleansing, transformation, and integration tasks to ensure data quality and consistency
  • Improve the efficiency and reliability of data processing through monitoring, error handling, and performance tuning of data pipelines
  • Implement systems using appropriate programming languages and tools and collaborate with other developers to integrate solutions

Qualifications

  • Over 5 years of experience in the relevant field
  • In-depth understanding of technologies used for processing and storing large-scale data, such as Hadoop, Spark, Kafka, SQL, and NoSQL
  • Experience in developing and maintaining data pipelines and ETL processes

Submission

  • Email your resume to careers@vivity.ai
  • Use the following email title format: [Application] (REC-year-num) Your_Name
  • Example: [Application] (REC-2023-08) John_Wick.
  • Make sure that your application code (REC-year-num) is correct.
  • Attach your resume in PDF format.
  • Feel free to include any necessary information in your resume. However, be concise and to the point.

Key Dates

  • Application (접수): 2023/09/18 ~ 2023/10/08
  • Screening (서류심사): ~ 10/11
  • Online interview (온라인인터뷰): 10/16 ~ 10/20
  • Onsite interview (현장면접): 10/23 ~ 10/27
  • Decision (결과): ~ 10/31

Contact: careers@vivity.ai

Posted: 2023-09-18
Code: REC-2023-17