Data Platform Specialist

5G-Starlink Pte.; Singapore; Presencial; SGD 90.000 - 150.000; Jornada completa

Descripción de la vacante

5G-Starlink Pte. is seeking a Data Platform Specialist to design, build, maintain, secure, and optimize a cloud-based data and BI platform for schools and students.

You will architect the data warehouse, develop robust ETL pipelines, and advise on scalable analytics solutions for internal and external users. The role focuses on translating business needs into technical specs, ensuring performance and security, and delivering actionable insights through dashboards and reports.

Formación

• BSc/BA in Computer Science, Engineering, or relevant field.
• Experience building ETL pipelines and data integration from diverse sources.
• Ability to integrate multiple data sources and applications with databases.
• Solid experience in data pipelines and ETL frameworks.
• Proven data warehouse architect and developer experience.
• Knowledge of enterprise design concepts: re-usability, CI, security, scheduling, monitoring.
• Strong data warehouse design, data modelling (data vault preferable), data quality and metadata.
• Excellent oral, written communication and presentation skills.
• Strong interpersonal skills, self-motivated with attention to detail.

Responsabilidades

• Translate business needs to technical specifications.
• Analyze requirements and map data sources, transformations, and metadata for reporting.
• Design EDW data layer with scalability, security, maintainability, and performance.
• Build ETL/integration pipelines from diverse data sources and platforms.
• Incrementally build the enterprise data warehouse.
• Evaluate and improve BI systems.
• Write code, test, document, and troubleshoot.
• Create visualizations and reports for business units.
• Participate in technical sharing and peer review sessions.

Conocimientos

ETL frameworks

Data modelling

Data warehouse design

CI/CD

Security

Monitoring

Communication

Team collaboration

Educación

BSc/BA in CS/Engineering

Descripción del empleo

The Data Platform Specialist will be given a unique opportunity to work on projects of high impact on our schools and students using cloud technologies and products. the person will be responsible for the design, build, maintenance, security, and performance of the data and business intelligence platform as well as acting as recommendations for how to build and scale the business intelligence data and business intelligence platform as well as acting as a trusted consultant to management, making recommendations for how to build and scale the business intelligence data platform to serve both internal and external customers.

Responsibilities

• Translate business needs to technical specifications.
  
• Analyze business requirements, understand underlying data sources, transformation requirements, data mapping data modeling and metadata for reporting solutions,
• Design EDW data layer with appropriate enterprise considerations like scalability, performance, security, maintainability, automation, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources, applications, and platforms.
  
• Incrementally build IB's enterprise data warehouse.
• Evaluate and improve existing BI systems,
  
• Write code, conduct unit testing, documentation and troubleshooting.
• Create visualizations and reports for various business units.
• Participate in technical sharing and peer review sessions with team members.

Requirements

• BSc/BA in Computer Science, Engineering, or relevant field.
• Building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources. applications and platforms.
• 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 frameworks.
• Proven experience as a data warehouse architect & developer, including full implementation of data warehousing solutions,
• Good understanding of enterprise design concepts: re-usability, continuous integration, security, scheduling, monitoring, etc.
• Strong expertise in data warehouse design methodologies and technologies, data modelling(data vault experience is preferable), data quality and metadata.
• Effective oral, written communication and presentation skills.
• Strong interpersonal skills. Self-motivated with a keen attention to detail.