Big Data QA LeadUnited States.

About us

AgilOne's vision is to restore the personal relationships companies once had with customers before channel-specific marketing silos got in the way. Through a single view of customers across all channels, predictive models to understand customer behavior, and real-time APIs to orchestrate personalized experiences across all touchpoints, AgilOne creates authentic omni- channel customer relationships that maximize lifetime value.

Big Data QA Lead

United States

AgilOne is looking for a smart, motivated quality assurance lead engineer to join our engineering team working on our next generation big data analytics product. The product is built on the latest big data and frontend technologies and imports, cleans and analyzes billions of events a month across our customers like Lululemon. This is a great opportunity for a QA Engineer to join a hot, fast-growing startup, working with smart, knowledgeable developers and have a direct impact on the company's success while working with cool technologies.

This is an individual contributor position that owns the end-to-end test plans, test framework/architecture, test execution, leads initiatives/projects and mentors junior QA engineers. The QA team is responsible for end-to-end automated and manual system integration testing of our SaaS platform and big data analytics products in a continuous integration/delivery and Agile environment.

Responsibilities

Own the quality of every release into production
Design, implement and execute manual and automated test cases
Help establish quality metrics fir QA team and help the team reach the goals
Document and enforce best practices in both the test and development teams
Design, develop, and deploy scalable and maintainable automated-testing frameworks; select best tools; and own responsibility for overall test strategy and implementation
Develop code, scripts and utilities for use by the Test Automation team
Ensure we deliver quality products, take and receive criticism, have fun and care about your results, your growth, and team's.

Qualifications

Experience in leading team(s)/project(s) and mentoring junior QA engineers.
Experience with Agile development process (eg Scrum)
5+ years experience in Big Data testing (eg pipelines and/or ETL processes) including expertise in but not limited to Hive, Yarn, MapReduce, Kafka, Spark, Oozie. Cloudera Hadoop (CDH) and Impala experience is a big plus
Strong SQL skills. HiveQL experience is a big plus
Experience with Relational Databases (e.g. Oracle, MySQL) and/or NoSQL databases (eg HBase, MongoDB)
Demonstrated expertise in at least one typed language like Java and ability to code full time in this language
Experience designing test automation in continuous integration/deployment environment
Experience with RESTful APIs and API test automation
Deep experience using testing and scripting tools such as JMeter, JUnit, TestNG, Selenium, Jenkins
A results driven focus, with a constant drive to improve
Effective communication and critiquing skills
A deep passion for technology, to make and deliver on commitments, and an obsession with quality

The AgilOne Story

AgilOne, the Customer Data and Engagement Hub, provides enterprise consumer marketers the power to integrate customer data across digital, physical, and mobile channels, deliver customer analytics with predictive insights and 360-degree profiles, and engage customers at every touch point in order to maximize lifetime value. Currently, the AgilOne solution supports more than 150 brands worldwide.

We leverage the latest technologies in big data, machine learning and data quality management to deliver an enterprise-grade, scalable and high performance tool for customers such as Tumi, Lululemon, Lilly Pulitzer and David's Tea.

AgilOne is funded by the best in the Valley - Sequoia Capital, Tenaya, and Mayfield.

• Competitive compensation
• Excellent benefits
• Equity
• 401k
• Catered lunches, snacks and beverages

A fun environment to work hard and play harder with passionate people building great products!

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