Information Technology

2 weeks ago


Singapore Singapore Airlines Limited Full time
JobDescription

At itscore, this is a principal software architect position - with priorworking experience as a software developer implementing, e.g.,modern distributed systems, cloud-based data lakes, and open-sourcedata engineering platforms. The successful candidate will play alead role in the Data Engineering and Analytics team of Scoot'sInformation TechnologyDivision.

KeyResponsibilities
  • Provide technical leadership and guidance for dataengineers in Scoot. Drive the overall technical vision and roadmapfor evolving Scoot's distributed data management systems and dataanalytics.
  • Be an effective implementer andtechnical mentor for the team in the following coreactivities:Design and develop new systems architecture for dataengineering services and their ecosystem, including distributeddatabases (relational, columnar, graph, in-memory); cloud DevOpswith IaC (Infrastructure-as-Code); and other big datatechnologies.
    Maintenance and evolution of existing GoogleCloud data warehouse/data lake systems.
    Design data modelsfor mission-critical and high-volume near-real-time data; buildidempotent/atomic production data pipelines to make data ingestionrobust and fault tolerant.
  • Assist in thestakeholder management and resolve resource conflicts within orbetween agile teams. Lead projects involving high level ofcoordination among departments and business areas.
  • Any relevant ad-hocduties.

Requirements
  • BS degree in Computer Science or a related discipline isrequired. Advanced degrees in Computer Science (PhD, MS) are highlydesirable.
  • 7 years or more relevant industryexperience in the following technicalareas:
  1. At leastintermediate-level knowledge and experience with Google Cloud andits best practices. AWS cloud experience is a plus.
  2. Advanced programming skills in Python. Conversant withdata structure, algorithm design/analysis, and SQL. Substantialexposure on functional/object-oriented programming using a modernprogramming language (such as Scala, Java, C#, andTypeScript/JavaScript) is a plus.
  3. Exposure inthe use of workflow/map-reduce and stream processing systems forbig-data processing, such as Spark and Kafka.
  4. In-depth understanding of modern ETL methodologies.Experience in building data pipelines using modern data ingestionplatforms, including open-source ones.
  5. Experience in the deployment of object stores and datawarehouses - such as Amazon S3, and Google GCS andBigQuery.
  6. Experience in modern softwaredevelopment is a plus (such as in web frontend UI and backend APImicroservice).
  • Provenexperience in technical leadership. Capable of mentoring a dataengineering team in delivering on multiple competing prioritieswith little supervision. Seasoned resource estimation, planning,and negotiation skills to work with diversestakeholders.
  • Prior experience with managingsoftware development teams using Agile/Scrum/Kanban methodology isa plus.


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