Description
As a Data Engineer, your role involves efficiently integrating and processing data sources within the ecosystem of our customer. This position offers an exciting opportunity to work in a dynamic environment and shape the future of our customer's data infrastructure.Key Responsibilities:
Data Source Onboarding:
• Identify, assess, and assist data source owners in onboarding new data sources
• Develop and maintain efficient data pipelines for various log sources (platform, application, security, etc.)
Data Parsing and Transformation:
• Design and implement data parsing and transformation to ensure structured and accessible data
• Collaborate with security analysts and data owners to understand data requirements
Data Quality Assurance:
• Ensure compliance with proper data quality standards and processes
• Review data, monitor data pipelines, and resolve data quality-related issues
User Support:
• Assist internal stakeholders in effectively accessing and utilizing data
• Troubleshoot queries and provide technical support
Content Support:
• Provide guidance and create/maintain content, visualizations, dashboards, and reports on supported platforms
Documentation:
• Create and maintain configuration guides and standard operating proceduresy
Qualifications:
• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Proficiency in Linux operating systems (e.g., CentOS, Ubuntu, Red Hat).
• Experience with CI/CD, Ansible, and Gitlab.
• Minimum of 3 years of Elasticsearch experience, including Elastic Ingest and Logstash pipelines, and Kibana data visualization.
• Knowledge of Splunk is advantageous.
• Ability to model and process large datasets using SQL, KQL, and SPL.
• Relevant certifications or technology work experience (e.g., CompTIA Linux+, Red Hat, Elastic, Splunk, etc.) is a plus.
General Framework:
• Start: As soon as possible
• Duration: 12 month (long-term with possibility of extending)
• On-Site Requirement: 2 days on-site in Zürich