Data Engineer, Ops Analysis & Technology
Singapore, SG
Job Purpose
As a Data Engineer, you will be a key player in building and maintaining the robust data infrastructure that underpins our railway operations. You will design, develop, and optimize data pipelines to ingest, process, and transform data from diverse sources, including laser measurement systems, photo imaging, and maintenance records. Your expertise in data engineering will ensure the seamless flow of information, enabling critical analyses for safety, reliability, and sustainability initiatives.
Responsibilities
The Data Engineer is responsible for
- Working with Data Analyst, Cloud Solutions Architect, Enterprise IT, Cybersecurity to implement data pipelines
- Developing extract-transform-load (ETL) scripts to ensure a high level of data quality
- Teaming with Railway Infrastructure & Facilities Engineers to support fault diagnostics, mine insights from reliability trends to support maintenance program review
- Teaming with system managers to support spares provisioning analysis
- Enhance maintenance dashboards to ensure timely and accurate defect status info for the Maintenance Engineers
- Ensure timely and quality submissions of regulatory reports to LTA
Qualifications & Work Experience
- Degree in Computer Science, Mechanical or Civil Structure Engineering
- Prior work experience as maintenance engineer will be a bonus
Skills
- Microsoft Azure Data Engineer certification
- Proficient in Python and its data science packages
- Proficient in Power BI
- Proficient in Excel
We regret that only shortlisted candidates will be notified.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Computer Science Data pipelines Data quality Engineering ETL Excel Pipelines Power BI Python
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