[BM]Marketing Data Engineer
Job GroupSoftware Engineer
Experience LevelExperienced 7~15 years
Job TypesFull-time
Locations대한민국 서울특별시 강남구 언주로 609, PAX TOWER

이런 분과 함께하고 싶습니다!

As a Marketing Data Engineering Lead at NSUSLAB, you will play a crucial role in leading a team of data engineers to transform data into actionable insights that drive strategic business decisions. You will work closely with cross-functional teams, including marketing, product, and customer service, to optimize our data infrastructure, enhance player experience, and support data-driven decision-making. Additionally, you will manage ID-level data using customer data platforms like Segment and build robust big data pipelines.


| 담당업무

  • Lead and mentor a team of data engineers, fostering a culture of collaboration and continuous improvement.
  • Develop and maintain Marketing Performance Dashboards (Looker) and reports to provide actionable insights.
  • Write, optimize, and troubleshoot complex SQL queries in BigQuery.
  • Design and implement data models to support analytics and reporting needs.
  • Extract, transform, and load (ETL) data from various sources using Python.
  • Oversee the management of ID-level data using customer data platforms such as Segment.
  • Build and maintain big data pipelines to handle large-scale data processing and analytics.
  • Track user interactions across web, mobile (Android and iOS), and desktop environments.
  • Integrate external ad platforms into the company's tracking and measurement platform.
  • Collaborate with cross-functional teams to understand their data needs and deliver tailored solutions.
  • Perform data validation and ensure data quality and integrity.
  • Stay updated with the latest trends and best practices in data analysis and engineering.
  • Drive the adoption of cloud-based data warehousing solutions and other advanced data technologies.
  • Communicate complex technical concepts to non-technical stakeholders effectively.


| 지원자격

  • Master’s degree in Computer Science, Information Technology, Statistics, or a related field.
  • Proven experience in data analysis and data engineering.
  • Proficiency in Looker, BigQuery, SQL, and Python.
  • Strong analytical skills and attention to detail.
  • Experience with data modeling and ETL processes.
  • Experience with ID-level data management using customer data platforms.
  • Proven experience in building big data pipelines.
  • Expertise in tracking user interactions across web, mobile (Android and iOS), and desktop environments.
  • Experience integrating external ad platforms into internal tracking and measurement systems.
  • Excellent problem-solving and critical-thinking skills.
  • Demonstrated leadership and team management experience.
  • Ability to work independently and as part of a team.
  • Strong communication skills to explain complex technical concepts to non-technical stakeholders.


| 우대사항

  • Experience with additional data visualization tools.
  • Familiarity with cloud-based data warehousing solutions.
  • Experience in the iGaming industry.
  • Experience with Ad Platform Integration.


자율적이고 주도적으로 일할 수 있는 최고의 환경을 제공합니다!


| 연봉 및 근무형태

  • 연봉 : 개별 협의
  • 근무형태 : 정규직 (시용 3개월 종료 후, 정규직 전환 가능 대상 / 정규직 급여와 동일)
  • 근무시간 : 선택적 근무제 (출근시간 : 오전 9시 ~ 11시)


| 전형 절차

1차 면접 (역량 검사)2차 면접 (실무 면접)처우 협의최종 합격


| 필수 첨부 서류 : 포트폴리오


| 기타사항

  • 면접에 참석하시는 분께는 소정의 면접비를 지급해 드립니다.
  • 직군에 따라 필요 시, 전형 절차는 변경 될 수 있습니다. (코드테스트, 실무과제 등) 
  • NSUSLAB의 최종 합격은 회사와 후보자 상호 간 처우협의가 최종 완료된 상태를 의미합니다.
  • 허위 사실이 발견 될 경우, 채용이 취소될 수 있습니다.
  • 해당 공고는 상시 채용으로, 채용 완료 시 조기 마감될 수 있습니다.


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[BM]Marketing Data Engineer

이런 분과 함께하고 싶습니다!

As a Marketing Data Engineering Lead at NSUSLAB, you will play a crucial role in leading a team of data engineers to transform data into actionable insights that drive strategic business decisions. You will work closely with cross-functional teams, including marketing, product, and customer service, to optimize our data infrastructure, enhance player experience, and support data-driven decision-making. Additionally, you will manage ID-level data using customer data platforms like Segment and build robust big data pipelines.


| 담당업무

  • Lead and mentor a team of data engineers, fostering a culture of collaboration and continuous improvement.
  • Develop and maintain Marketing Performance Dashboards (Looker) and reports to provide actionable insights.
  • Write, optimize, and troubleshoot complex SQL queries in BigQuery.
  • Design and implement data models to support analytics and reporting needs.
  • Extract, transform, and load (ETL) data from various sources using Python.
  • Oversee the management of ID-level data using customer data platforms such as Segment.
  • Build and maintain big data pipelines to handle large-scale data processing and analytics.
  • Track user interactions across web, mobile (Android and iOS), and desktop environments.
  • Integrate external ad platforms into the company's tracking and measurement platform.
  • Collaborate with cross-functional teams to understand their data needs and deliver tailored solutions.
  • Perform data validation and ensure data quality and integrity.
  • Stay updated with the latest trends and best practices in data analysis and engineering.
  • Drive the adoption of cloud-based data warehousing solutions and other advanced data technologies.
  • Communicate complex technical concepts to non-technical stakeholders effectively.


| 지원자격

  • Master’s degree in Computer Science, Information Technology, Statistics, or a related field.
  • Proven experience in data analysis and data engineering.
  • Proficiency in Looker, BigQuery, SQL, and Python.
  • Strong analytical skills and attention to detail.
  • Experience with data modeling and ETL processes.
  • Experience with ID-level data management using customer data platforms.
  • Proven experience in building big data pipelines.
  • Expertise in tracking user interactions across web, mobile (Android and iOS), and desktop environments.
  • Experience integrating external ad platforms into internal tracking and measurement systems.
  • Excellent problem-solving and critical-thinking skills.
  • Demonstrated leadership and team management experience.
  • Ability to work independently and as part of a team.
  • Strong communication skills to explain complex technical concepts to non-technical stakeholders.


| 우대사항

  • Experience with additional data visualization tools.
  • Familiarity with cloud-based data warehousing solutions.
  • Experience in the iGaming industry.
  • Experience with Ad Platform Integration.


자율적이고 주도적으로 일할 수 있는 최고의 환경을 제공합니다!


| 연봉 및 근무형태

  • 연봉 : 개별 협의
  • 근무형태 : 정규직 (시용 3개월 종료 후, 정규직 전환 가능 대상 / 정규직 급여와 동일)
  • 근무시간 : 선택적 근무제 (출근시간 : 오전 9시 ~ 11시)


| 전형 절차

1차 면접 (역량 검사)2차 면접 (실무 면접)처우 협의최종 합격


| 필수 첨부 서류 : 포트폴리오


| 기타사항

  • 면접에 참석하시는 분께는 소정의 면접비를 지급해 드립니다.
  • 직군에 따라 필요 시, 전형 절차는 변경 될 수 있습니다. (코드테스트, 실무과제 등) 
  • NSUSLAB의 최종 합격은 회사와 후보자 상호 간 처우협의가 최종 완료된 상태를 의미합니다.
  • 허위 사실이 발견 될 경우, 채용이 취소될 수 있습니다.
  • 해당 공고는 상시 채용으로, 채용 완료 시 조기 마감될 수 있습니다.