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PDS Tech Inc Security Analytics Data Engineer in Dublin, Ohio

Job Description

The Security Analytics Data Engineer will interface with security Big Data environments, aiding in their design and configuration, to analyze and present findings within them. The security engineer is expected to work independently with internal clients and management on information security issues and strategies, manage new and existing requirements and fully document processes and solutions. This role will require a deep understanding of security constructs in addition to a wide array of technologies to effectively perform the duties expected. This position will interface with several products and technologies, including not limited to: MSSQL (SSRS/SSIS/SSDT), Python, Splunk, ELK stack (Elastic, Kibana, Logstash), MongoDB/NoSQL, OLAP cubes, DLP, Tanium, MySQL, Oracle, among others. In addition, design and developing of portals, processes and procedures will be required for incident response and security reporting.

Job Specific Responsibilities

Perform analysis across various data sets to identify baselines, working towards defining a predictive capability

Monitor, maintain and refresh production machine learning models

Identify data sources both internally and externally that can be used to improve insight into activity, implement data exploration technologies accordingly

Analyze data to enable a better understanding of each data source

Create presentation dashboards and implement analytical tools to enhance action of the discoveries

Aid in design, development, and management of a large scale Elastic/ELK environment including data ingestion capabilities and underlying infrastructure

Candidate Requirements

Fundamental knowledge of firewalls, networking, operating systems, databases, and storage, both at a functional level to understand data that is in scope

Experience with Big Data frameworks (Elastic/ELK preferred), querying tools and analytics tools in a large scale implementation in an Enterprise environment

Regex/Scripting/programming/RDBMS knowledge (shell, batch, perl, python, php, Oracle, MSSQL, others)

Data modeling and schema design

Must have excellent verbal and written communication skills with experience presenting information to groups

Must have strong analytical, technical, and problem solving skills

Ability to demonstrate leadership qualities and skills, including independent decision-making abilities.

Ability to manage time and priorities with multiple tasks and projects.

Ability to work with loosely defined requirements.

Self-starter mentality and the ability to think outside the box.

Preferred Qualifications

10+ yrs. of related IT experience

3+ years MS SQL, SSDT

Reporting Experience a big plus (SSRS, Power BI, Kibana, Tableau)

Web Development Experience desired

3+ years of Big Data platform experience (ELK, Mongo, Hadoop, et al.); Design, management and operation

Expert knowledge of Unix/Linux (RHEL preferred) and/or Windows OSes, including infrastructure Engineering and Support

MS preferred or Bachelor’s Degree with equivalent work experience and appropriate certifications

Strong understanding of how technology relates to business, market and industry and applies knowledge to support the needs of critical systems and projects.

A solid understanding of Network and Endpoint Systems Scanning

Experience with repository management systems (GIT, etc).

Experience with SIEM (Security Information and Event Management) systems, and security event correlation or other Information Security models.

Experience with enterprise-scale operations and maintenance environments

All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status.

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