Data Analytics Developer

Fuse Engineering LLC•Linthicum, MD

About The Position

As part of the Secure the Enterprise initiative, develop capabilities to shift from the current manual system security evaluation and authorization process to a new model that emphasizes automation, streamlined processes and approvals, continuous monitoring and assessment, and network data gathering across the entire life cycle of a project. As a member of the Data Management practice you will support a SCRUM team to develop and deploy new functionality for an enterprise level cyber security tool.

Requirements

Strong background in analytics development.
Desire to learn Pig / PySpark.
7 years’ experience as a SWE, in programs and contracts of a similar scope, type, and complexity is required.
Bachelor’s degree in computer science or related discipline from an accredited college or university is required.
4 years of additional SWE experience on projects with similar software processes may be substituted for a bachelor’s degree.

Nice To Haves

Patch management and IAVA tracking.
Python.
Java.
Scala.
NiFi.
Ansible.
Experience working in Agile environment.

Responsibilities

Heavily involved with the creation, maintenance, and running of Pig and or PySpark analytics.
Responsible for reviewing data ingest tickets and merge requests with other developers on the team.
Focused on delivering reliable, accurate data to the end users as well as ensuring that day-to-day operations are successful, including being able to investigate data arriving accurately into the system.
Analyze user requirements to derive software design and performance requirements.
Debug existing software and correct defects.
Provide recommendations for improving documentation and software development process standards.
Design and code new software or modify existing software to add new features.
Integrate existing software into new or modified systems or operating environments.
Develop simple data queries for existing or proposed databases or data repositories.
Write or review software and system documentation.
Design or implement complex database or data repository interfaces/queries.
Develop or implement algorithms to meet or exceed system performance and functional standards.
Assist with developing and executing test procedures for software components.
Develop software solutions by analyzing system performance standards, confer with users or system engineers; analyze systems flow, data usage and work processes; and investigate problem areas.
Modify existing software to correct errors, to adapt to new hardware, or to improve its performance.
Design, develop and modify software systems, using scientific analysis and mathematical models to predict and measure outcome and consequences of design.