Senior Cybersecurity Data Engineer

Fiserv•Frisco, TX

3d•$109,000 - $182,400•Onsite

About The Position

You will interface with security Big Data environments, aiding in their design and configuration to analyze and present findings. You will work independently with internal clients and management on expanding and optimizing our data and data pipeline architecture, optimizing data flow and collection for cross-functional teams. Your role will manage new and existing technical requirements and fully document processes and solutions and support our engineers, database architects, data analysts, and data scientists and will ensure optimal data delivery architecture is consistent throughout ongoing and new projects.

Requirements

10+ years of related IT experience with more than 5 years of Big Data platform experience including design, management, and operation.
5+ years of experience in building processes supporting data transformation, data structures, and optimizing big data pipelines.
5+ years of experience with SQL working with relational/non-relational databases, query authoring (SQL) as well as familiarity with a variety of Cloud databases including ETL/ELT tools, Big Query, and Cloud storage.
Strong analytical skills related to working with unstructured and structured datasets and performing root cause analysis on data and processes to answer specific business questions and identify opportunities for improvement.
Fundamental knowledge of firewalls, networking, operating systems, databases, and storage at a functional level to understand data that is in scope.
Bachelor’s degree in computer science, Information Technology, or a related field and/or equivalent military experience.
Must currently possess valid and unrestricted U.S. work authorization to be considered for this role. Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or TN, or any candidate requiring sponsorship, now or in the future, will not be considered.

Nice To Haves

5+ years’ experience with big data tools like BigQuery, Cribl, Spark, Talend, IBM Streams, Kafka, relational SQL, and NoSQL databases, including PostgresSQL or AlloyDB.
Experience leading projects to drive optimal solutions by meeting the requirements and goals.

Responsibilities

Lead the initiatives and projects with end-to-end implementation of solutions to build and support the Data Fabric, Datalake, Datawarehouse, and operational data stores including planning, setup, configuration, and support.
Create and maintain optimal data pipeline architecture, assembling large, complex data sets that meet functional/non-functional business requirements.
Identify, design, and implement internal process improvements to automate manual processes, optimize data delivery, and redesign infrastructure for greater scalability.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Talend, BigQuery, SQL, and other big data technologies.
Work with stakeholders, including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.