[SDx] Data Engineer - Development and Operation of Data Pipelines in Production/Manufacturing
Category
SDx (Smart Manufacturing)
Due date
2025.04.30
Job group
Data/AI
Experience Level
Experienced 6 years or more
Job Types
Full-time
Locations
Seoul / Gyeonggi서울특별시 강남구 대치동

[Job Description]

  • Development ​and ​operation ​of data ​pipelines across smart factories
  • Automation ​of ​pipelines utilizing ​Airflow
  • Data cleansing and ​refinement according ​to ​business requirements
  • Design ​and ​development ​of reliable and ​scalable ​data services


[Minimum Qualifications]

  • Understanding ​and ​practical ​experience with the ​enterprise Hadoop ​ecosystem
  • Experience ​in building ​and operating ​data ​processing systems based ​on Hadoop, ​Hive, and Spark
  • In-depth understanding of architectures and structures efficient for large-scale data processing
  • Familiarity with concepts of data marts and data warehouses, as well as experience with data languages (SQL, NoSQL)
  • Proficient in one or more programming languages: Java, Scala, or Python


[Preferred Qualifications]

  • Experience leading projects as a Project Leader (PL)
  • Development experience in production and manufacturing environments
  • Experience in developing and operating on-premises/cloud-based data infrastructure
  • Experience with automation in a DevOps environment (CI/CD)
  • Experience in establishing and operating Big Data Quality policies


[Recruitment Process]

  • Application Submission → Application Review → Job Competency Test (Coding or Task Test) & HMAT → First Interview → Second Interview → Salary Negotiation & Medical Check-Up → Final Decision & Job Offer


[Reminder]

  • This is an ongoing recruitment process and job postings will close once the positions are filled. The recruitment process and schedule are subject to change.
  • Applications of socially prioritized groups (veterans eligible for employment support, individuals with disabilities) will be given preference in accordance with relevant laws and internal company regulations.
  • Depending on the job position and responsibilities, an English proficiency interview, reference check, or other procedures may be conducted.
  • If Hyundai AutoEver determines that another position is more suitable based on the applicant's experience and competencies, the applied position may change.
  • Assigned departments and work locations may be subject to change based on company circumstances.
  • Applicants may face disqualification from the recruitment process or cancellation of an offer in the following cases.

- If the application contains false information or supporting documents cannot be verified.

- If the applicant has restrictions on international travel

(for male applicants, military service must be completed or exempted

by the company's designated start date)

- If the applicant is unable to join the company on the designated start date after final acceptance.

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[SDx] Data Engineer - Development and Operation of Data Pipelines in Production/Manufacturing

[Job Description]

  • Development ​and ​operation ​of data ​pipelines across smart factories
  • Automation ​of ​pipelines utilizing ​Airflow
  • Data cleansing and ​refinement according ​to ​business requirements
  • Design ​and ​development ​of reliable and ​scalable ​data services


[Minimum Qualifications]

  • Understanding ​and ​practical ​experience with the ​enterprise Hadoop ​ecosystem
  • Experience ​in building ​and operating ​data ​processing systems based ​on Hadoop, ​Hive, and Spark
  • In-depth understanding of architectures and structures efficient for large-scale data processing
  • Familiarity with concepts of data marts and data warehouses, as well as experience with data languages (SQL, NoSQL)
  • Proficient in one or more programming languages: Java, Scala, or Python


[Preferred Qualifications]

  • Experience leading projects as a Project Leader (PL)
  • Development experience in production and manufacturing environments
  • Experience in developing and operating on-premises/cloud-based data infrastructure
  • Experience with automation in a DevOps environment (CI/CD)
  • Experience in establishing and operating Big Data Quality policies


[Recruitment Process]

  • Application Submission → Application Review → Job Competency Test (Coding or Task Test) & HMAT → First Interview → Second Interview → Salary Negotiation & Medical Check-Up → Final Decision & Job Offer


[Reminder]

  • This is an ongoing recruitment process and job postings will close once the positions are filled. The recruitment process and schedule are subject to change.
  • Applications of socially prioritized groups (veterans eligible for employment support, individuals with disabilities) will be given preference in accordance with relevant laws and internal company regulations.
  • Depending on the job position and responsibilities, an English proficiency interview, reference check, or other procedures may be conducted.
  • If Hyundai AutoEver determines that another position is more suitable based on the applicant's experience and competencies, the applied position may change.
  • Assigned departments and work locations may be subject to change based on company circumstances.
  • Applicants may face disqualification from the recruitment process or cancellation of an offer in the following cases.

- If the application contains false information or supporting documents cannot be verified.

- If the applicant has restrictions on international travel

(for male applicants, military service must be completed or exempted

by the company's designated start date)

- If the applicant is unable to join the company on the designated start date after final acceptance.