Data Engineer - Live Support and Monitoring
- Industry Type
- IT
- Functional Area
- IT Industry IT
- Nationality
- Any
- Keywords
- Data Engineering Live Support Monitoring Services SC Clearance
Job Description
Stealth IT Consulting is looking for a Data Engineer to provide live support and improve monitoring of services for a public sector data platform. The role is based in Edgbaston, United Kingdom.
- Position
- Data Engineer - Live Support and Monitoring
- Company
- Stealth IT Consulting
- Location
- Edgbaston, United Kingdom
- Industry
- IT
- Experience
- 1 to 20 years
Responsibilities
- Provide live support for data platform services.
- Enhance monitoring of services.
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About the role: Data Engineer - Live Support and Monitoring
General information about this type of role, not from the employer. The employer's actual requirements may differ, so always check the job details above.
Data Engineers in Live Support and Monitoring roles focus on building and maintaining systems that collect, process, and analyze real-time data. They typically work in IT companies, technology departments, or service providers that require continuous data flow monitoring to ensure system performance and reliability.
What this role usually involves
- Design and develop data pipelines for real-time data processing.
- Monitor data systems to ensure smooth operation and quick issue resolution.
- Collaborate with IT and development teams to support live data environments.
- Optimize data workflows for performance and scalability.
- Troubleshoot and fix data-related problems as they arise.
Skills employers usually look for
- Strong knowledge of data processing frameworks and tools.
- Experience with real-time data streaming and monitoring.
- Good problem-solving and analytical abilities.
- Familiarity with database systems and data storage solutions.
- Ability to work under pressure in live support situations.
Usual qualifications
- A diploma or degree in computer science, information technology, or related field is usually expected.
- Knowledge of programming languages such as Python, Java, or Scala is often required.
- Understanding of data architecture and cloud platforms is beneficial.
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