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수집 기준일2026-08-24
채용공고 › Singapore Airlines

Information Technology - Data Analytics Engineer

추출된 스킬 7건
스킬분류수준근거 문장 (원문)
AWS IT·데이터 기술 필수 Experience working with AWS, GCP, and infrastructure-as-code systems. DevOps experience is a plus.
BI 도구 IT·데이터 기술 필수 Experience working with visualization tools (specifically Tableau would be preferred).
GCP IT·데이터 기술 필수 Experience working with AWS, GCP, and infrastructure-as-code systems. DevOps experience is a plus.
Python IT·데이터 기술 필수 More than 2 years of SQL and Python experience is required.
SQL IT·데이터 기술 필수 More than 2 years of SQL and Python experience is required.
문제 해결 직무 역량 필수 Good critical thinking and problem-solving abilities.
이해관계자 관리 직무 역량 언급 Explore, analyse, and aggregate various types of data to provide business insights to the data team stakeholders. Create compelling story and visualisation to convey these insights. Ask right and inquisitive questions of the data to deliver analytics solution to the business.
공고 원문
Key Responsibilities - Understand business processes, applications and how data is created, stored and gathered in Singapore Airlines Group. - Use big data tools and platforms to create and maintain data pipelines, making sure pipelines are robust, scalable, and reliable. Troubleshoot and rectify issues with data pipelines as necessary. - Build expertise and domain knowledge on the data. Establish and own the data quality and SLA for various data flows. - Explore, analyse, and aggregate various types of data to provide business insights to the data team stakeholders. Create compelling story and visualisation to convey these insights. Ask right and inquisitive questions of the data to deliver analytics solution to the business. - Design, build and manage data marts to satisfy our growing data needs. - Be part of a project team to manage and deliver project deliverables, resources and timelines. - Any other ad-hoc duties. - This is an individual contributor role. - Note: You could be posted to any subsidiary in SIA Group. Requirements / Qualifications - BS degree in Data Science & Analytics, Computer Science or a related technical field. - Possess good communications skills to understand our customers' core business objectives and build end-to-end data centric solutions to address them. - Ability in analysing data to identify deliverables, gaps and inconsistencies. - Good critical thinking and problem-solving abilities. - Ability to work independently and manage multiple task assignments. - More than 2 years of SQL and Python experience is required. - Experience working with AWS, GCP, and infrastructure-as-code systems. DevOps experience is a plus. - Experience in ETL pipeline design, implementation and maintenance. - Experience working with visualization tools (specifically Tableau would be preferred). Preferred / Nice to have - DevOps experience is a plus; Tableau experience preferred Selection process / Benefits (if stated) - Not stated ---