Description:
Our client's Cyber Security Engineering team is looking for assistance in building out an internal application, heavily reliant on MongoDB. The application is meant to correlate asset data across various telemetry sources, along with vulnerability data, and provide a secured front-end to end users. We are looking for an extensible model, where authorization based on LDAP groups will drive assigned roles and limited views of the data.
This role is more focused on data onboarding, cleansing, and correlating across a myriad of datasets. Vulnerability datasets will need to be normalized and harmonized across multiple tools, and correlations across various asset telemetry datasets are required for success. The end goal is to create a single pane of glass for assets and vulnerabilities, and this role will operate at the data layer.
Responsibilities
Develop scripts to bring in data into Cribl/S3
Develop scripts to route data outputs from the pipelines into MongoDB
Parse and extract fields into normalized, agreed upon
Experience
Experience developing custom Python scripts to pull data from REST APIs & other sources.
Experience performing data cleaning/normalization of JSON data.
Experience working in document databases
Must have experience in MongoDB
Skills:
MongoDB, PowerBI, Cyber security, Python, active directory, Information security
Top Skills Details:
MongoDB,PowerBI,Cyber security,Python,active directory
Experience Level:
Expert Level
About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.