Splunk Data Engineer

What’s in it for you!
As a Splunk Data Engineer with our client, you’ll receive:
- Highly competitive market hourly rates
- A 6 month contract with a strong probability of extension
- Remote interview process


Responsibilities
Tool administration: roles and capabilities, users, API keys, Apps, HEC tokens, indexes, etc
Support users with Getting Data In (GDI), data classification, dashboard & alert creation
Tool Governance and Best Practices documentation, training colleagues for our 2 primary tools: Splunk & Datadog
Support data retention policies
Build and maintain Splunk Cloud components (Universal Forwarders, Heavy Forwarders, HEC, Add-ons, etc)
Understand our end users needs to ensure our platforms meet their needs
Collaborate with cross-functional teams to troubleshoot and resolve monitoring related issues
Managing Splunk ingestion/SVC usage, and communicating chargeback data
Managing tool agent licensing, data ingestion and resource tagging
Maintain/update administration dashboards for Datadog/Splunk platform health

Qualifications
College degree in computer science/engineering or related field
Minimum 2+ years of experience with Splunk in one or more of the following areas: data onboarding, IT Operations, compliance, dev
ops, network security, and system security
Minimum 1+ years of Splunk Administration experience, Splunk Cloud Administration is preferred
GDI (Getting Data In) specialization: onboarding data through data classification, pipelining/ETL, data models & summarazation (where
applicable)
Strong understanding of Splunk “SPL”, search and dashboard optimization
Knowledge of:
PII / CCPA / GDPR rules
Enterprise Single Sign-On

Docker and Kubernetes
Atlassian Suite tools
Experience with Linux
A track record delivering quality results on complex cross-functional projects
Analytical and problem-solving capabilities
Strong verbal and written communication skills. Must be able to communicate with a wide variety of audiences, both business and
technical.
Bonus
Experience with other monitoring tools such as Datadog, New Relic, SignalFX, Thousand Eyes, etc.
Experience/knowledge of Cloud Computing services (AWS, Azure, GCP), and monitoring and logging tools within these platforms
Knowledge of ML/ ITSI
Knowledge of OpenTelemetry, experience with OpenTelemetry API/SDK
Knowledge and implementation experience with Splunk Connect for Kubernetes (otel-sck)

Summary
If you are a Data Splunk Engineer and the prospect of joining a dedicated team intrigues you, then this role with our high-profile client could be the perfect opportunity for you.

Apply below or reach out to your Randstad representative for more information.


Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.