Staff Data Engineer (Data Platform)
Seoul, South Korea
Coupang
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Data Platform팀의 데이터 엔지니어는 쿠팡이 데이터 기반 의사결정을 할 수 있도록 하는 데이터 레이크, 데이터 수집, 데이터 파이프라인의 디자인, 개발, 관리를 담당합니다. 이 포지션은 매우 다양한 소스 시스템에서 데이터를 수집하기 위한 시스템을 구축, 저장소 최적화, 안정적이고 신뢰할 수 있는 데이터 파이프라인과 데이터를 지원하는 일을 담당합니다.
자격요건
- 개발 경력이 8년 이상 이신 분
- Database System, Data Warehousing 개념 및 언어 (SQL, NoSQL, HiveQL) 에 대한 탄탄한 지식
- Java, Scala, Python 등의 프로그래밍 언어 중 최소 1개의 언어를 능숙하게 사용 가능하신 분
- EMR, Spark, Hive, 또는 기타 빅데이터 프레임워크와 분산처리에 대한 경험이 있으신 분
- 대용량 데이터 처리 및 파이프라인 구축 경험이 있으신 분
- 주도적으로 내/외부 부서와 원활한 커뮤니케이션이 가능하고 적극적이고 문제 해결 능력이 있으신 분
우대사항
- AWS, Azure, GCP 등 클라우드 기반 서비스 환경에서 개발 경험이 있으신 분
- Kafka, Storm, Spark-Streaming 등의 스트림 프로세싱 시스템에 대한 경험이 있으신 분
- Airflow를 통한 파이프라인 구축 경험이 있으신 분
Job Description
As a Senior Data Engineer in the Data Platform team, you are responsible for the design, development, and management of data lake, data ingestion, and data pipelines that enable Coupang to make data-driven decisions. This position is responsible for building systems for collecting data from a wide variety of source systems, optimizing storage, and supporting stable and reliable data pipelines and data.
Basic Qualifications
- 8+ years of software development experience
- Solid knowledge of Database systems, Data Warehousing concepts, and languages (SQL, NoSQL, HiveQL).
- Proficient in using at least one programming language such as Java, Scala, or Python.
- Experienced with EMR, Spark, Hive, or other big data frameworks and distributed processing
- Experience with large-scale data processing and pipeline construction
- Able to proactively communicate with internal/external departments and proactive attitude and problem-solving skills
Preferred Qualifications
- Experience with Cloud-based service environments such as AWS, Azure, and GCP
- Experience with Stream-processing systems such as Kafka, Storm, Spark-Streaming, or equivalent
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Big Data Data pipelines Data Warehousing GCP HiveQL Java Kafka NoSQL Pipelines Python Scala Spark SQL Streaming
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