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Information Technology - Principal Technologist, Data Engineering & Analytics (Scoot)

Job Description

At its core, this is a principal software architect position - with prior working experience as a software developer implementing, e.g., modern distributed systems, cloud-based data lakes, and open-source data engineering platforms. The successful candidate will play a lead role in the Data Engineering and Analytics team of Scoot’s Information Technology Division.

 

Key Responsibilities

  • Provide technical leadership and guidance for data engineers in Scoot. Drive the overall technical vision and roadmap for evolving Scoot’s distributed data management systems and data analytics.
  • Be an effective implementer and technical mentor for the team in the following core activities:
    • Design and develop new systems architecture for data engineering services and their ecosystem, including distributed databases (relational, columnar, graph, in-memory); cloud DevOps with IaC (Infrastructure-as-Code); and other big data technologies.
    • Maintenance and evolution of existing Google Cloud data warehouse/data lake systems.
    • Design data models for mission-critical and high-volume near-real-time data; build idempotent/atomic production data pipelines to make data ingestion robust and fault tolerant.
  • Assist in the stakeholder management and resolve resource conflicts within or between agile teams. Lead projects involving high level of coordination among departments and business areas.
  • Any relevant ad-hoc duties.

 

Requirements

  • BS degree in Computer Science or a related discipline is required. Advanced degrees in Computer Science (PhD, MS) are highly desirable.
  • 7 years or more relevant industry experience in the following technical areas:
    • At least intermediate-level knowledge and experience with Google Cloud and its best practices. AWS cloud experience is a plus.
    • Advanced programming skills in Python. Conversant with data structure, algorithm design/analysis, and SQL. Substantial exposure on functional/object-oriented programming using a modern programming language (such as Scala, Java, C#, and TypeScript/JavaScript) is a plus.
    • Exposure in the use of workflow/map-reduce and stream processing systems for big-data processing, such as Spark and Kafka.
    • In-depth understanding of modern ETL methodologies. Experience in building data pipelines using modern data ingestion platforms, including open-source ones.
    • Experience in the deployment of object stores and data warehouses - such as Amazon S3, and Google GCS and BigQuery.
    • Experience in modern software development is a plus (such as in web frontend UI and backend API microservice).
  • Proven experience in technical leadership. Capable of mentoring a data engineering team in delivering on multiple competing priorities with little supervision. Seasoned resource estimation, planning, and negotiation skills to work with diverse stakeholders.
  • Prior experience with managing software development teams using Agile/Scrum/Kanban methodology is a plus.

 

We thank all candidates for your interest in Singapore Airlines, and regret that only shortlisted candidates will be notified.
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