Data Engineer

4 weeks ago

Singapore GO NET ZERO PTE. LTD. Full time
Roles & Responsibilities

Introduction to GoNetZero™


GoNetZero™ 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.


GoNetZero™’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, GoNetZero™ provides custom solutions tailored to clients’ decarbonisation needs.


Since its launch in 2022, GoNetZero™ 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 IoT devices, ensuring efficient and reliable data collection.
  • Configure and optimize internal data processing jobs using Python or other relevant languages to handle large-scale IoT data, ensuring timely ingestion, processing, and storage.
  • Monitor and troubleshoot data pipelines to ensure smooth and continuous data flow from IoT 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.

Required Skills & Experience

  • 3+ years of experience as a Data Engineer, Data Pipeline Engineer, or in a similar role, with a focus on IoT 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, PostgreSQL
  • Experience with cloud services such as Azure (e.g., Azure Data Factory, Azure IoT 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.

At Sembcorp, our shared corporate behaviours underpin all the work that we do in building a sustainable future:

  • 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.

Working Location: 30 Hill Street Singapore 179360

This is a 100% in-office position. The successful candidate must be available to work from our corporate office during regular business hours.


Tell employers what skills you have

Excellent Communication Skills
Factory
Scalability
PostgreSQL
Azure
Data Modeling
Pipelines
ETL
Reliability
SQL
Python
Visualization
Renewable Energy
Debugging
Databases

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