Security Analytics Data Engineer

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Job TitleSecurity Analytics Data Engineer

What does a successful Security Analytics Data Engineer do at Fiserv?

You will interface with security Big Data environments, aiding in their design and configuration, to analyze and present findings within them. You will work independently with internal clients and management on expanding and optimizing our data pipeline architecture and optimizing data flow/ collection for cross-functional teams, manage new and existing requirements and fully document processes and solutions.

What you will do:

Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional/non-functional business requirements

Identify, design, and implement internal process improvements, automate manual processes, optimizing data delivery, re-design infrastructure for greater scalability

Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using technologies like Talend/BigQuery

Work with stakeholders, including Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs

Lead end-to-end implementation of the Axonius or similar Cybersecurity Asset Management tool and SaaS Management solutions, including planning, setup, configuration, and support

Create data tools for analytics/data scientist teams and work with them to strive for greater functionality in our data systems

What you will need to have:

6+ years of IT experience

5+ years’ experience working with relational/non-relational databases, query authoring (SQL)

3+ years’ experience with Axonius, Google cloud, Big Query and Cloud storage

3+ years’ experience with data pipeline and workflow management tools like Talend/Informatica and experience working in data warehousing or data lake platforms

Experience building/optimizing ‘big data’ data pipelines, architectures, data sets and performing root cause analysis on data and processes to answer specific business questions and identify opportunities for improvement/ build processes supporting data transformation, data structures, metadata, dependency/workload management

Experience manipulating, processing/extracting value from large, disconnected datasets and message queuing, stream processing, and highly scalable ‘big data’ data stores

Fundamental knowledge of firewalls, networking, operating systems, databases, and storage

Bachelor’s degree in data science, Computer Science, Engineering, Mathematics or an equivalent combination of education, work, or military experience

What would be great to have:

3+ years of Big Data platform experience

1+ year experience with

scripting languages like Python, Java, C++, Scala

relational SQL and NoSQL databases, including PostgreSQL or Alloy DB

Repository management systems like GIT and SIEM systems

Experience with reporting tools like PowerBI/Cognos

Experience with Agile methodologies and Jira or other tasks/project tracking tools

#LI-RM1

This role is not eligible to be performed in Colorado, California, District of Columbia, Hawaii, Illinois, Maryland, New York, Nevada, Rhode Island or Washington.

It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.

Please note that salary ranges provided for this role on external job boards are salary estimates made by outside parties and may not be accurate.

Thank you for considering employment with Fiserv. Please:

Apply using your legal name

Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Our commitment to Equal Opportunity:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.

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