Minimum 11 years of experience in Systems Engineering and Data Engineering
Bachelor's or Master's degree in Information Technology or Engineering preferred
Proficient in integrating diverse data streams
Experience with data transfer tools like NiFi or Cribl
Skilled in analyzing complex networks and systems
Familiar with log data analysis from various network components
Knowledgeable in managing data feeds and troubleshooting issues
Responsibilities
Design data models and build data warehouses and lakes
Automate data pipelines for efficient data flow
Optimize data accessibility while maintaining security boundaries
Create frameworks for collecting structured and unstructured data
Develop cyber and operational analytic tools for consumer use
Establish standards and governance for data management
Connect large datasets from various sources using ETL techniques
Benefits
Opportunities for professional development and certifications
Collaborative work environment with a focus on innovation
Access to cutting-edge technology and tools
Flexible work arrangements
Support for work-life balance
Full Job Description
As a Data Engineer, you are responsible for designing data models, building data warehouses and data lakes, automating data pipelines and working with datasets of all sizes. You will optimize overall data/information flow by reducing redundancy and enabling accessibility within security boundaries. You apply data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources. You create data collection frameworks for structured and unstructured data. Your solutions and create cyber and operational analytic tools for consumers that assist them in building and optimizing downstream products inclusive of constructing dataset procedures that can help with data mining, modeling, and production. You use and develop standards, tools, processes and governance for capturing, modeling, storing, and delivering data for the enterprise.
Required Skills:
We are actively seeking Systems Engineers to perform as a Data Engineer with a minimum of 11 years' experience. Information Technology or Engineer Bachelor's or Master's Degrees are preferred. Specific skills should include the following: Experience integrating diverse data streams Experience with data transfer tools (Ex: NiFi, Cribl, etc) Establishes data standards and acts as custodian of IT and service delivery data sets and streams Experience in analyzing complex networks and systems Experience in analyzing log data from various network components and operating systems Knowledge of complex environments involving shared networks and multiple security enclaves Systems Engineer with Data Engineer background Ability to manage and troubleshoot data feeds Splunk familiarization Python
Preferred Skills:
Security Development and Operations (SecDevOps) Hands on Splunk Experience and Certifications Scripting tools to include Python, ShellScript, or Ansible Cloud security controls and implementation Public, private and hybrid Cloud experience (AWS, Microsoft Azure, etc.) AWS Certified Security Specialty
