Cybersecurity Data Engineer

Description:

We are seeking a Cybersecurity Data Engineer with a strong focus on data analytics and monitoring platforms such as SIEM (Security Information & Event Management), Log Management, or Enterprise Data Lake solutions. The ideal candidate will have a solid understanding of software development and system architecture, as well as experience in building integrations and parsers for data ingestion and analysis.

We are a Global Cybersecurity Engineering group that gets to work with leading technologies in the Azure, AWS and Cybersecurity space, and provide an opportunity to gain exposure across our world class security organization.

Office locations: Boston - USA or Toronto - Canada or Waterloo - Canada

Work arrangement: Role requires to be Hybrid from nearest Office - 3 days from Office, 2 days from Home

Responsibilities:

• Implement and maintain observability tools and SIEM solutions.

• Collaborate with cross-functional teams to design, implement, and maintain observability solutions across the organization's infrastructure and applications, with a specific focus on Azure cloud services and environment.

• Lead the implementation and configuration of a SIEM platform, ensuring effective monitoring, detection, and response to security incidents.

• Develop and maintain custom integrations, data pipelines, and dashboards for monitoring and analyzing system and application performance, security events, and logs in both cloud and on-premise environments.

• Work closely with security and operations teams to continuously onboard asset logs for monitoring and improve the organization's observability and security posture.

Requirements:

• 5+ years of experience in software development and system architecture with a data engineering or software engineering background

• Strong command of SQL for data parsing & querying, reporting, and troubleshooting, with the ability to optimize queries for performance

• Strong experience in either managing and supporting observability/SIEM solutions (i.e. Sentinel, Devo, Splunk, Azure Monitor, Azure Data Explorer, etc.) or large ETL and data analytics projects (Azure EDL, Hadoop, Spark, etc..)

• Strong working experience in a reputable cloud provider environment (such as Azure and AWS) managing and designing cloud solutions

• Proficiency in programming languages such as Python, JavaScript, or Go, as well as experience with relevant frameworks and tools

• Excellent problem-solving skills, attention to detail, and the ability to thrive in a fast-paced, collaborative environment

• Strong communication and interpersonal skills, with the ability to effectively communicate technical concepts to non-technical stakeholders