Quality Control jobs in Singapore

The Data Platform Engineer will be responsible for the design, build, maintenance, security and performance of the data analytics platform, serving both Digital Office stakeholders and lines of business. The work will range from larger technology delivery initiatives, working on a shared Digital Office Data Analytics product backlog, providing maintenance support, and ensuring the smooth operation of live applications and platforms. This role requires hands‑on development experience implementing new features and functionalities within the platform.

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• Analyze business requirements, understand underlying data sources, transformation requirements, data mapping, data modelling and metadata for reporting solutions.
• Translate these business needs to a simple, scalable and secure technical design.
• Design EDW, data mart layers with appropriate enterprise considerations like architectural fit, performance, flexibility, maintainability, automation etc.

• Build infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources, applications and platforms.
• Play an active role in the development scrum team, delivering features with appropriate quality and velocity in the product backlog according to IB’s DevOps practices including refining of user stories, acceptance criteria, write code, conduct unit testing, documentation and troubleshooting.

• Perform ITIL Incident, Problem, and Change Management practices in accordance to SLAs and follow processes.
• Identify key problem areas within the application and implement improvements. Evaluate and improve existing data analytics systems.

• Understand the IB’s main business processes and how it relates to data that is generated or captured.
• Understand associated data flows and dependencies between different enterprise systems.

• BSc/BA in Computer Science, Engineering or relevant field.
• Able to integrate multiple data sources & user‑end applications with databases into one system (to store the data and its retrieval from the databases).
• Solid experience in designing and implementing robust data pipelines and ETL/ELT framework.
• Proven experience as a data warehouse architect & developer, including full implementation of data warehousing solution.
• Experience in data engineering solutions built on modern data lake or Lakehouse architectures, including Delta Lake or equivalent frameworks e.g. Microsoft Fabric.
• In‑depth understanding of database management systems, online analytical processing (OLAP), SQL queries (Azure SQL DB).
• Expertise with Azure Resource Management and templates is an added advantage.
• Exposure to cloud technologies (MS Azure, AWS) & desire to learn and deliver new things on a needs‑basis (big data, BI, data science, etc.).
• Strong expertise in data warehouse design methodologies and technologies, data modelling (Data Vault modelling methodology experience is preferable), data quality and metadata.
• Ability to work within a fast‑paced environment to meet deadlines, multitask and cope with multiple activities.

• 20% employer’s CPF contribution.
• S$1,200 yearly flexible credits.
• 20 Days annual leave, plus public holidays, with the choice to buy or sell up to 3 days additional annual leave using flexible credits.
• Life assurance 2x annual salary.
• Flexible working hours due to nature of work.
• Organisation sponsored learning opportunities for professional development.
• Corporate passes to Singapore Zoo, River Wonders and Gardens By The Bay.