Splunk/Cribl Developer

Posted 15 Days Ago
Be an Early Applicant
Columbus, OH
Junior
Artificial Intelligence • Cloud • Database • Analytics
The Role
The Splunk/Cribl Developer is responsible for designing and implementing Cribl pipelines, integrating with Splunk, and optimizing performance. Key tasks include troubleshooting issues, collaborating with teams, and ensuring integration with data sources. Staying updated on technologies and explaining technical concepts to various audiences is essential.
Summary Generated by Built In


Hello All,
We are Hiring 
 Splunk/Cribl Developer
Below is the JD for the reference

Splunk/Cribl Developer

Jersey City, NJ & Columbus, OH (3 Days a week in office/Hybrid)

W2/FT Preferred 

***Local Candidates Highly Preferred***


Job Overview/Summary
As a Splunk/Cribl Developer, you will be responsible for designing and implementing Cribl pipelines, integrating Cribl with Splunk, and optimizing performance. You will be troubleshooting issues, collaborating with cross-functional teams, and ensuring seamless integration with various data sources and destinations. This role requires a deep understanding of Cribl’s data processing capabilities and experience with Splunk architecture and administration.
Responsibilities
 

  • Design and implement Cribl pipelines for data processing and enrichment
  • Integrate Cribl with various data sources and destinations, including Splunk
  • Optimize Cribl performance and troubleshoot any arising issues
  • Collaborate with teams to ensure seamless data flow and system functionality
  • Stay updated on Cribl and Splunk technologies to ensure best practices are followed
  • Communicate technical concepts clearly to both technical and non-technical audiences
     

Primary Skills
 

  • Deep understanding of Cribl’s data processing and enrichment capabilities
  • Familiarity with Splunk architecture, search processing language (SPL), and administration
  • Proficiency in scripting languages like Python and PowerShell
  • Experience with automation tools for infrastructure management
     

Secondary Skills (Good To Have)
 

  • Strong problem-solving skills and attention to detail
  • Ability to work independently and as part of a team in a fast-paced environment
  • Experience with other log management tools
     

Qualifications
 

  • Proven experience in Cribl and Splunk integration and management
  • Proficiency in scripting and automation for data and infrastructure tasks
  • Ability to explain complex technical concepts to diverse audiences

Benefits & Perks:
Part of our mission statement is to provide a great life for our employees. We believe that happy employees make for a better company, so we take care of them. Here are a few of the perks we offer:

  • Flexibility for you to work in-office, hybrid or remote
  • Medical and Dental Premiums
  • Startup culture with opportunity to grow
  • Performance bonuses
  • Health, dental and vision insurance plans
  • Pursue growth and learning with career development expenses

Top Skills

Powershell
Python
The Company
Cupertino, California
9 Employees
Hybrid Workplace
Year Founded: 2022

What We Do

Driving Innovation through Advanced Data and AI Services.

We offer next-level data and AI services to help you transform your data into actionable insights for a competitive edge.

To augment your teams, we offer full-time/contract resources & consulting, design and development services for turnkey projects in the following areas:

01 DATA MODERNIZATION
Define Cloud strategy, architecture & roadmap
Identify current landscape & catalog data sources
Data warehouse design & setup
Develop data governance & data quality framework
Implement data management technologies
Build data analytics capabilities
Inculcate data driven culture
A future-ready framework to serve all business use cases

02 DATA INTEGRATION & CLOUD MIGRATION
Design & develop
Optimized data models and data pipelines
ETL/ELT workloads & monitoring
Processes that scale up and down without performance problems
Automate data migration between upstream/downstream (on-prem) systems and Cloud

03 DATA ANALYTICS & AI
Data analytics consulting – use-case exploration and building analytics roadmap
Data preparation and creating a single version of truth
Dashboard & report development
AI/ML model selection and development
AI/ML model tuning and validation
AI/ML model scaling, integration and deployment

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