포지션 상세 정보
- 기술스택
Kafka
Druid
Spark
Python
Go
- 주요업무
• Design, develop, deploy, and maintain an organization’s data warehouse and related infrastructure such as data lakes. • Create data models based on business objectives to determine how data can be stored and organized to support business processes Develop and manage data pipeline automation for data processing tasks within and across the data warehouse. • Develop reports and dashboards that organizations can use to make data-driven decisions.
- 자격요건
• 5+ years of engineering experience in data engineering and data warehouse areas. • Software development experience with Python or Golang. • Agile development environment experience
- 우대사항
• Extensive knowledge and experience of data warehouse systems, DBMS and NoSQL. • Extensive knowledge and experience in SQL and data modeling. • Extensive knowledge and experience in ETL/ELT systems such as airflow. • Experience of Business intelligence tools to analyze data and create visualizations such as Tableau, Power BI and Qlik. • Experience of Big data platform and processing using tools such as Spark, Kafka, Clickhouse and Druid would be a plus. • Experience of programming languages such as Python and Golang would be a plus.
- 복지 및 혜택
• 편안한 근무환경: 필요에 따른 원격 및 재택 근무 제도 실행 / 사무실 전 좌석 스탠딩 데스크 구비 • Maximum freedom and responsibility: 업무에 지장없는 한에서 무제한 연차제도 • 개인 법카 제공: 점심식대 지원
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<About the Position> Glassdome’s premier SaaS platform ‘Omnibus’ enables customers to continually optimize their manufacturing processes and comply with the regulatory environment. Glassdome does so by providing the customers a user-friendly single point access to multiple manufacturing equipment and systems that are scattered across the site, multiple sites, and even multiple suppliers. As a Data/DW engineer you will design and build large databases that store information from multiple sources. You will work with a variety of stakeholders to determine what data should be included in the warehouse, how it should be organized, and how it can be used most effectively.