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Taxi & Car Services · 201 to 500 Employees · Havelock, US
LTM provides logistics consulting, technology system engineering, and information technology services, primarily for government agencies but also for commercial enterprises. The company's logistics services include supply chain management and the arrangement of distribution and transportation. LTM's customers have included several components of the US Department of Defense, as well as the US Department of Homeland Security and state government entities. Company president David Baldwin, a retired Marine aviator, founded LTM in 1994. The company, which owns more than a dozen offices across the US, is owned by its employees.
Hiring: Engineering
What employees say
+ Good projects. Good clients latest tech stack project
− you can not take sick leave if you are on bench you have to come 5 days office.
More reviews on the company profile.
Interview experience · Business Analyst
Very friendly, concept testing, focuses a lot on communication and basics. It heavily emphasised on marketing concepts and leaned towards consulting in general. Overall, prepare the basics and you should be good to go
Average difficulty · India · 19 reports
More interview insightsJob description
Overview
Role Name Platform Data Engineer
Responsibilities
- Role Name Platform Data Engineer
- The Enterprise Data Engineer will be a member of the Global Cybersecurity Data Acquisition and Engineering team responsible for all aspects of data acquisition and onboarding to the cyber data lake and analytics platform The team partners with IT Infrastructure teams in endtoend deployment of security technologies across the firm and delivers normalised security data feeds to the Databricks cyber analytics platform
- The role involves the design and implementation of data ingestion patterns and pipelines to make feeds available for security analytics It requires sustainable reliable and performant solutions to be implemented on a repeatable basis
- The role requires an experienced systems engineer with strong technical leadership and collaboration skills The ideal candidate will have significant experience in data pipeline and analytics technologies Linux system administration and cloud infrastructure eg Databricks Data Factory NiFi Kafka RHELUbuntu Azure Function Apps Azure platform services etc
- Engineering leadership and support for existing and future data analytics technology Databricks Data Factory NiFi Kafka Fluentd etc
- Leading the continued technical enhancement of security platforms
- Supporting the identification development and implementation of new detections and analytics use cases
- Leading the continued evolution of automation and orchestration across the platform
- Training and developing other members of the cyber analytics team as well as other members of the engineering function
- Supporting a culture of individual selfimprovement whereby staff are expected to maintain subject matter expertise within their area of focus and within the realm of cybersecurity more broadly for example remaining up to date on the tooling for strategically important platforms
- Taking a leading role in the engagement of Global Businesses and Functions driving global uplift in cybersecurity awareness
- Collaborating with various layers of management across Cybersecurity and other IT teams to develop solutions that protect the organisation
- Designing and driving the implementation of new service offerings capability uplifts and process improvements to protect the bank for a continuously changing threat landscape
Qualifications
- To be successful in this role you should have proven
- experience within the technology sector with knowledge of the following skills
- Automation and optimisation of data engineering pipelines
- Deployment of realtime analytics for large datasets and application of data engineering in cybersecurity
- Expertise in one of more key areas of Google Site Reliability Engineering SRE principles for largescale cloud infrastructure with a commitment to continuous learning and professional development
- Broad knowledge of Azure services Identity Networking Compute Storage Web Containers Databases PowerBI
- Proficiency with InfrastructureasCode and automation tools Terraform Chef Ansible CloudFormationARM
- Familiarity with streaming platforms Azure Event Hubs Kafka and stream processing Spark streaming
- Azure and Databricks certifications
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