Lead QA Automation Engineer

You desire impactful work.
 

You’re RGA ready

RGA is a purpose-driven organization working to solve today’s challenges through innovation and collaboration. A Fortune 500 Company and listed among its World’s Most Admired Companies, we’re the only global reinsurance company to focus primarily on life- and health-related solutions. Join our multinational team of intelligent, motivated, and collaborative people, and help us make financial protection accessible to all.

Leads team and independently designs, develops, tests, implements, documents, and supports big data/ data lake systems, including cataloging, modeling, ingestion, streaming, processing, and storage technologies and processes. Possesses an effective understanding of the source systems, and leverages knowledge of data warehouse and business intelligence technologies, as well as processes, to execute responsibilities.

Principle Duties:

• Leads small projects with manageable risks and resource requirements, and develops detailed work plans

• Works closely with business and IT stakeholders to optimize information by defining business requirements and populating the data lake

• Designs, develops, and maintains the big data technologies and architectures

• Performs big data design and testing, including data design, big data architecture, catalog, and repository creation

• Creates and supports the process to pull the information from source systems and place it into the data lake

• May supervise or manage four or fewer employees, and responsible for team's performance; coaches and mentors team members

• Creates big data schematics and layouts, and develops capacity planning

• Seeks continuous big data performance improvement and ensures security of information

• Creates and implements effective metrics and monitoring processes

• Recommends improvements and applies standards, processes, and procedures for big data systems

Qualifications:

Education:

• Bachelor’s Degree in Arts/Sciences (BA/BS) or equivalent education/ experience required

• Master’s degree in Arts/Sciences (MA/MS) preferred

Work Experience:

• 8+ Years big data or relevant experience. Demonstrated ability to quickly learn new technologies

• 8+ Years experience with cataloging, modeling, ingestion, processing, and streaming technologies and processes

• 4+ Years of Data Analysis experience

Skills & Abilities:

• Demonstrated ability to lead small teams. Advanced interpersonal skills, including the ability to build consensus.

• Advanced ability to solve complex problems, drawing upon creativity, experience, and multiple sources of information.

• Advanced communication skills, including the ability to communicate complex or difficult information.

• JavaScript technologies (eg, jQuery, Angular, React and Nodejs)

• HTTP, SSL/TLS, REST, SQL, JSON, and Excel

• AIX/Linux, Websphere, Weblogic, Tomcat, JBOSS

• MySQL, Oracle, SOLR, NoSQL, Postgres, Mongo DB and Hive

• Continuous Integration Tools (eg, CruiseControl, Continuum, Travis)

• Test Driven Development processes and tooling (eg, JUnit, Mocha, Jasmine, Protractor); DevOps-style deployment tools (eg, Docker, Ansible, Vagrant)

• Experience with business intelligence and/ or data warehouse technologies and processes

What you can expect from RGA:

• Gain valuable knowledge from and experience with diverse, caring colleagues around the world.

• Enjoy a respectful, welcoming environment that fosters individuality and encourages pioneering thought.

• Join the bright and creative minds of RGA, and experience vast, endless career potential.

Compensation Range:

$104,350.00 - $155,350.00 Annual

Base pay varies depending on job-related knowledge, skills, experience and market location. In addition, RGA provides an annual bonus plan that includes all roles and some positions are eligible for participation in our long-term equity incentive plan. RGA also maintains a full range of health, retirement, and other employee benefits.

RGA is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, age, gender identity or expression, sex, disability, veteran status, religion, national origin, or any other characteristic protected by applicable equal employment opportunity laws.