Lead QA Engineer - Big Data

Company Description

FourV Systems, LLC is a global leader in data analytics empowering enterprises to derive more knowledge and intelligence by correlating historical and real-time data. Our products bridge the gap between scheduled analytics of stored data and real-time streaming analytics on big, fast data sets. We apply patented proprietary machine learning algorithms and natural language processing capabilities to unlock the power of stored and streaming cross-domain data in transformative ways.

Are you a quality assurance engineer with big, fast data experience looking to make an impact with a rapidly growing team of talented developers working on delivering a transformative product? Are you highly motivated to make a real impact in the trajectory of our company? If so, FourV Systems is looking for engineers just like you.

At FourV Systems, we believe our employees are our greatest asset. We offer competitive salaries, a full benefits package with available medical, dental, vision, and disability insurance, and a 401k retirement package. We offer paid time off, a well-stocked kitchen, and team building activities. Most importantly, we offer the opportunity to build a world class product with a team of talented engineers. At FourV Systems, we help our partners Know More, Now™.

Job Description

In the Lead QA Engineer - Big Data role, you will be responsible for participating in the design and development efforts of our big data testing infrastructure for functional and performance testing. The testing infrastructure will exercise patented machine learning algorithms for analysis of large amounts of cross-domain data to meet customer needs.

This is a great opportunity to join early and influence the technology selection, design, and have ownership of the infrastructure.

Key Responsibilities

• Generate test plans and determine levels of effort for projects by analyzing functional requirements and design documents
• Design and implement automated and manual test case infrastructure and processes
• Follow all regression tests plans, complete documentation checklists, and report exceptions
• Work closely with software engineers on Agile teams to deliver quality features
• Participate in architecture discussions to address long-term design objectives

Skills & Experience

• 5+ years of QA testing experience in a Unix/Linux environment
• Experience testing distributed systems, including testing on the Hadoop platform and user-level Hadoop configuration and administration skills
• Experience testing of ETL and message queue workflows and workloads, including such tools as Apache Kafka, Camel, or Nifi
• User-level understanding of web application security and performance testing tools
• Deep understanding of Java, including security and unit/integration testing frameworks
• Strong SQL and NoSQL knowledge, including writing and executing queries to analyze data
• Full software development life-cycle experience with proven track record of shipping quality software products on-time
• Experience with public, private, and hybrid cloud implementations preferably AWS or Azure
• Apache Spark experience – including production experience using SparkSQL and Spark Streaming or Apache Storm a strong plus
• Experience developing tests in functional programming languages such as Scala, Clojure, Python, or Javascript is a plus
• Four year degree in CS, CE, EE, or other technical field such as math, physics, or engineering is required – a graduate degree in CS, CE, EE is a plus.
• Excellent written and verbal communication skills; documentation, presentation, and training skills
• Ability to work well independently and as a part of a team in a fast-paced environment
• Must have the legal right to work in the United States

Join our team today and Know More Now™ with FourV Systems.