Nagios Platform Engineer responsible for Monitoring solutions across Schwarz group. Collaborating with international teams to enhance automation and troubleshoot technical issues.
About the role
- Software Engineer developing scalable data pipelines and cloud solutions for Cummins' products. Collaborating with teams to ensure data quality and governance in a modern engineering environment.
Responsibilities
- Design and build scalable data pipelines that bring together data from multiple systems and sources
- Develop and support modern data platforms and cloud-based solutions that power analytics and business insights
- Monitor and maintain data quality to ensure reliable, accurate and trusted information across the platform
- Help shape data governance practices including access, security and lifecycle management
- Optimise and troubleshoot data pipelines and databases to improve performance and efficiency
- Work with a collaborative engineering team using modern tools and agile practices to continuously improve the data environment
Requirements
- Proven track record in solving complex technical problems
- Hands-on experience building and managing cloud-based data platforms, preferably in AWS
- Proficiency in Python, SQL, Spark/Java or C# and experience designing scalable data pipelines
- Familiarity with data modelling, data warehousing methodologies, and modern tools like DBT, Athena, or Snowflake
- Experience with CI/CD processes, infrastructure-as-code tools, or delivering SaaS/industrial data platforms is a plus
- Valid passport
Benefits
- Learning and development opportunities
- Support for individual performance
- Collaborative work environment
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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