Total 2 Others/Any technical support engineer job vacancies in Paya Lebar Quarter 2 (SSG)

[What the role is]
As part of the Flight Operations section within the Flight Standards Division, you will be responsible for the operations and technical support for Flight Standards Division to ensure that aviation safety is safeguarded and well-managed. You will also support functions ensuring continued compliance with regulations and best practices, providing the foundation of safety for the sustained development of the air hub and aviation industry.

[What you will be working on]
You will mainly support Flight Operation’s tasks via safety analysis through performing data extraction, data consolidation, report generation and trend analysis; as well as support Singapore air operator audits, aircraft ramp inspections, line station inspections, flight simulation training device evaluations and other safety oversight activities. You will assist in the engagement of air operators on safety issues. You will execute the budgeting, procurement and ICT compliance of for internal safety oversight applications used by Flight Standards Division, as well as manage various internal and external stakeholders to ensure the smooth running and operation of the applications. You will provide support in Flight Operations’ safety oversight surveillance programme to verify continued compliance with regulations and best practices.

[What we are looking for]
• Degree holder or possesses professional qualifications (e.g., CPL holder)
• Possesses a sound understanding of flight operation in airlines, with knowledge of human factors related to operational performance and limitations
• Organised and good at multi-tasking
• Analytical, meticulous, and detail-oriented
• Good communication and comprehension skills, with the ability to adapt and think out-of-the-box
• Strong team player

Your appointment designation will commensurate with your relevant work experience. Successful candidates will be offered a 3-year contract in the first instance, and may be considered for placement on a permanent tenure or subsequent contract renewal.

[What the role is]

[What you will be working on]

The officer will be required to:

• Manage data pipelines which consist of a series of stages through which data flows (for example, from data sources or endpoints of acquisition to integration and consumption for specific use cases). These data pipelines must be created, maintained and optimised as workloads move from development to production for specific use cases.
• Tap on innovative and modern tools, techniques and architectures to partially or completely automate the most-common, repeatable and tedious data preparation and integration tasks in order to minimize manual and error-prone processes and improve productivity; will also need to assist with implementing the data management infrastructure to drive automation in data integration and management.
• Work with the Data Governance teams to participate in vetting and promoting content created in the business, by data scientists and the curated data catalog, for governed reuse.

[What are we looking for]

• Tertiary qualification in computer science, statistics, applied mathematics, data management, information systems, information science or a related quantitative field is required.
• Ideally have a combination of IT skills, data governance skills, and analytics skills with a technical or computer science degree.
• At least six years of work experience in data management disciplines including data integration, modelling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks.
• At least three years of experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental and/or multi-departmental data management and analytics initiative in a dynamic business environment
• Expected to collaborate with both the business and IT teams to define the business problem, refine the requirements, and design and develop data deliverables accordingly. Regular discussions with data consumers on optimally refining the data pipelines developed in nonproduction environments and deploying them in production is also necessary.
• Confident, energetic self-starter, with strong interpersonal skills.
• Good judgment, a sense of urgency and has demonstrated commitment to high standards of ethics, regulatory compliance, customer service and business integrity.