indeed
Observability Engineer (Splunk, Cribl & Elastic)
Netbuilder
Dubai, UAE
Full Time
Mid
Onsite
1 months ago
SplunkCriblElasticData PipelineData OnboardingPython
Free
Job Fit Check
Base Career helps you apply smarter for this job.
?%
Ready to ScanKey skills for this role
SplunkCriblElastic
About the Role
Netbuilder is seeking a Data Pipeline Engineer to design, implement, and maintain observability solutions using Splunk, Cribl, and Elastic. The role involves onboarding complex data sources, managing client relationships, and providing pre-sales support.
Key Skills for This Role
SplunkCriblElasticData PipelineData OnboardingPython
Responsibilities
- Design, implement, and maintain solutions
- Onboard complex data sources
- Manage client relationships and work directly with customers to understand their data and technology challenges
- Provide pre sales support and assist with customer training and adoption
- Stay up to date on Cribl best practices to ensure optimal solution delivery
Requirements
- Proven experience in data logging/pipeline tools such as Splunk, Cribl or Elastic
- Proven experience working with clients to manage demands, expectations, and business requirements
- Proficiency in data onboarding activities, including developing custom parsing functions and transformations
- Experience in writing complex queries, parsers and handling data streams
- Ability to solve complex problems with hands on engineering tasks
- 2+ years of experience with relevant data tool (i.e., Splunk, Elastic, Cribl)
Full Job Posting
Overview
- As a Data Pipeline Engineer you will work on projects to help our clients operate successfully. You will collaborate with diverse stakeholders, including end users, business analysts, designers, and operations teams to solve complex problems and execute 'hands on' engineering tasks.
Key Responsibilities
- Solution Design & Implementation: Design, implement, and maintain solutions.
- Data Onboarding: Onboard complex data sources.
- Client Engagement: Manage client relationships and work directly with customers to understand their data and technology challenges.
- Consultation & Support: Provide pre sales support and assist with customer training and adoption.
- Best Practices: Stay up to date on Cribl best practices to ensure optimal solution delivery.
Key Skills & Qualifications
- Essential: Proven experience in data logging/pipeline tools such as Splunk, Cribl or Elastic.
- Proven experience working with clients to manage demands, expectations, and business requirements.
- Proficiency in data onboarding activities, including developing custom parsing functions and transformations.
- Experience in writing complex queries, parsers and handling data streams.
- Ability to solve complex problems with hands on engineering tasks.
- 2+ years of experience with relevant data tool (i.e., Splunk, Elastic, Cribl).
- Desirable: Experience configuring and maintaining large data pipelining environments.
- Proficiency in scripting languages (e.g., Python, Bash) and writing regular expressions.
- Familiarity with containerized solutions (Kubernetes, Docker, OpenShift).
- Experience with cloud computing platforms (AWS, Azure, or GCP).
- Previous experience using PMO and ITSM tooling (ServiceNow, JIRA, Confluence).
- Formal certifications (preferred) in relevant data logging/pipeline tools such as Cribl, Splunk or Elastic.
About you
- Passionate about technology and technical development.
- Proactive approach to problem solving with excellent analytical skills.
- Self sufficient with strong written and verbal communication skills.
- Ability to engage with non technical staff and collaborate effectively with peers.
- Strong team playing mentality and ability to work to tight deadlines.
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career