Senior Data 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.

A Brief Overview – Sr. Data Engineer

Independently designs, develops, tests, implements, documents, and supports big data/ data lake systems, including big data cataloging, modeling, ingestion, streaming, processing, and storage technologies and processes. Applies a general understanding of the source systems and leverages general knowledge of data warehouse and business intelligence technologies, as well as processes, to execute responsibilities.

What you will do

• Creates and supports the process to pull the information from source systems and place it into the data lake.
• Performs big data design and testing, including data design, big data architecture, catalog, and repository creation.
• Designs, develops, and maintains the big data technologies and architectures.
• Works with business and IT stakeholders to optimize information by defining business requirements and populating the data lake.
• Creates big data schematics and layouts; assists with developing capacity planning.
• Recommends improvements and applies standards, processes, and procedures for big data systems.
• Seeks continuous big data performance improvement and ensures security of information.
• Creates and implements effective metrics and monitoring processes.
• May lead small projects with manageable risks and resource requirements.
• Acts as a resource and impacts the quality of work for colleagues with less experience.

Qualifications

EDUCATION AND EXPERIENCE

Required:

• Bachelor’s degree in arts/sciences (BA/BS) or equivalent education/ experience
• 4+ Years big data or relevant experience
• 4+ Years experience with cataloging, modeling, ingestion, processing, and streaming technologies and processes. Continuous Integration Tools (eg, Cruise Control, Continuum, Travis)
• 1+ Years Data Analysis experience

Preferred:

• Master’s degree in arts/sciences (MA/MS) preferred

SKILLS AND ABILITIES

Required:

• 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 in straightforward manner.
• Advanced interpersonal skills, including the ability to build consensus
• 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
• Test Driven Development processes and tooling (eg, JUnit, Mocha, Jasmine, Protractor)
• DevOps-style deployment tools (eg, Docker, Ansible, Vagrant

Preferred:

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

#LI-CD1

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:

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.