[Job Description]
- Define technical requirements from the perspective of data engineering and analysis
- Develop data pseudonymization solutions (including pseudonymization processing, distributed processing, adequacy review, reporting, etc.)
- Design and develop dashboards (using Superset) for presenting review results
[Minimum Qualifications]
- Experience with Python
- Ability to analyze, design, and develop programs
- Experience in participating in development projects (excluding sole projects)
- A comprehensive understanding of IT technologies
[Preferred Qualifications]
- Experience with big data platforms (e.g., Hadoop, Spark)
- Experience with version control tools (GitLab) and CI/CD practices
- Relevant experience in data engineering or analysis (modeling)
[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.
[Job Description]
- Define technical requirements from the perspective of data engineering and analysis
- Develop data pseudonymization solutions (including pseudonymization processing, distributed processing, adequacy review, reporting, etc.)
- Design and develop dashboards (using Superset) for presenting review results
[Minimum Qualifications]
- Experience with Python
- Ability to analyze, design, and develop programs
- Experience in participating in development projects (excluding sole projects)
- A comprehensive understanding of IT technologies
[Preferred Qualifications]
- Experience with big data platforms (e.g., Hadoop, Spark)
- Experience with version control tools (GitLab) and CI/CD practices
- Relevant experience in data engineering or analysis (modeling)
[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.