Singapore Job Openings
GO NET ZERO PTE. LTD.
Data Engineer
Singapore
FULL TIME
October 8, 2024
Introduction to Go Net Zero™
Go Net Zero™ empowers clients worldwide to achieve their net-zero goals. As a global decarbonisation solution provider, it offers comprehensive end-to-end solutions through its digital platform and verified environmental attributes (EAs), including Renewable Energy Certificates and carbon credits. It is the carbon management business of Sembcorp Industries, a Singapore Stock Exchange-listed company.
Go Net Zero™’s suite of digital solutions includes Measure – which enables clients to begin their net-zero journey by assessing their organisations’ emissions; Manage – which allows clients to view, manage, and retire their EAs portfolio seamlessly on a single platform; and Perform – which helps clients maximise the output and lifespan of their renewable energy assets across multiple sites on a single dashboard. Additionally, Go Net Zero™ provides custom solutions tailored to clients’ decarbonisation needs.
Since its launch in 2022, Go Net Zero™ has supported over 80 clients globally through its established offices in Singapore, the UK, and Vietnam.
Key Responsibilities
This is a 100% in-office position. The successful candidate must be available to work from our corporate office during regular business hours.
Go Net Zero™ empowers clients worldwide to achieve their net-zero goals. As a global decarbonisation solution provider, it offers comprehensive end-to-end solutions through its digital platform and verified environmental attributes (EAs), including Renewable Energy Certificates and carbon credits. It is the carbon management business of Sembcorp Industries, a Singapore Stock Exchange-listed company.
Go Net Zero™’s suite of digital solutions includes Measure – which enables clients to begin their net-zero journey by assessing their organisations’ emissions; Manage – which allows clients to view, manage, and retire their EAs portfolio seamlessly on a single platform; and Perform – which helps clients maximise the output and lifespan of their renewable energy assets across multiple sites on a single dashboard. Additionally, Go Net Zero™ provides custom solutions tailored to clients’ decarbonisation needs.
Since its launch in 2022, Go Net Zero™ has supported over 80 clients globally through its established offices in Singapore, the UK, and Vietnam.
Key Responsibilities
- Design, develop, and maintain scalable data ingestion pipelines for Io T devices, ensuring efficient and reliable data collection.
- Configure and optimize internal data processing jobs using Python or other relevant languages to handle large-scale Io T data, ensuring timely ingestion, processing, and storage.
- Monitor and troubleshoot data pipelines to ensure smooth and continuous data flow from Io T devices to back-end databases and storage systems.
- Implement data validation and cleansing processes to ensure data integrity and quality across the pipeline.
- Collaborate with development teams to ensure processed data is passed correctly to web frontend systems for visualization and reporting.
- Manage the integration of various data sources (e.g., sensor data, external APIs) into the data pipeline using cloud services, ensuring alignment with system architecture.
- Implement monitoring tools and alerts to track the health and performance of the data pipeline.
- Support data modeling and database optimization efforts to improve query performance and scalability.
- Develop and maintain documentation for all data pipeline components, processes, and configurations.
- Collaborate with cross-functional teams including data scientists, backend developers, and product managers to address evolving data processing needs.
- 3+ years of experience as a Data Engineer, Data Pipeline Engineer, or in a similar role, with a focus on Io T systems and data.
- Proven experience in designing, implementing, and managing ETL (Extract, Transform, Load) pipelines for large-scale data ingestion.
- Hands-on experience with database management systems such as SQL, Postgre SQL
- Experience with cloud services such as Azure (e.g., Azure Data Factory, Azure Io T Hub, Azure Stream Analytics) is a plus.
- Experience with monitoring, logging, and debugging tools to ensure pipeline reliability.
- Strong problem-solving skills and ability to troubleshoot issues in data ingestion and processing.
- Excellent communication skills and the ability to work with cross-functional teams.
- Institution-first Mindset - Put the interest of the Group ahead of individual interests.
- Collaboration - Deliver through collaborating across markets, businesses and functions.
- Accountability - Hold team and self accountable to deliver on our commitments.
This is a 100% in-office position. The successful candidate must be available to work from our corporate office during regular business hours.
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