The Hartford Senior Data Quality Assurance Engineer in CHARLOTTE, North Carolina
Title: Senior Data Quality Assurance Engineer
Location: United States-North Carolina-Charlotte
Other Locations: United States-Connecticut-Windsor
Job Number: 1801079
Data Quality Assurance Engineer
Charlotte, NC OR Hartford, CT
The Enterprise Quality Assurance team is architecting and designing the QA ecosystem for the Data, Analytics and SOA Platform. As a QA Data Automation Engineer, you will help establish framework for automated testing, SOA, Service virtualization, Enterprise data and data quality assurance. If you have an aptitude for problem solving and are eager to measure the quality of big data and analytic systems, we’d love to talk to you!
Your core responsibilities will include:
Outline and execute the strategy for Enterprise Data - functional, SOA, API and data quality testing
Design, implement, maintain, enhance or build Hadoop based test frameworks and Selenium based test frameworks
Hone your development capabilities using various tools such as Informatica, B2B, PL/SQL, Hadoop to build data assets that enable business value generation
Help design, document, and implement administrative procedures for Hadoop based testing platform
Act as a point of contact with our vendors to troubleshoot and resolve issues as required.
Provide IT and business partner consultation on using the Hadoop based testing platform effectively
Actively participate in our daily scrums to help establish a Test Driven Development / Behavior driven development approach
Implement and analyze regression reports, code quality, automated builds and KPI’s
Measure quality from the perspective of end users and downstream dependencies
Ensure the QA and application platform performs and scales appropriately
Be part of a Scrum Team – driving work independently or collaboratively towards achieving business outcomes
Tools and Technologies
Need to have:
Databases - Oracle, SQL Server
NOSql Databases - HivemongoDBHbase
Agile Central (Rally)
Nice to have:
5-8 years of experience in being a data lead with over 3 years of hands on experience in building Hadoop based testingframeworks and developing E2E data strategies
Over 3 years of experience in using data tools and Big Data technologies on a Hadoop platform (e.g. Informatica, Scoop, Hive, Pig, NoSQL)
Deep experience required in using various tools such as Informatica, B2B, PL/SQL, Hadoop to build data assets
Preferred experience in collaborating across multiple teams Offshore and Onshore
Desire candidates with prior Data Engineer competencies and prior experience with successful enablement of Data Delivery initiatives
Excellent verbal and written communication skills and ability to interact effectively across all levels
BS in Computer Science or technical degree
Behaviors at the Hartford:
Deliver Outcomes – Demonstrate a bias for speed and execution that serves our shareholders and customers.
Operate as a Team Player – Work together to drive solutions for the good of The Hartford.
Build Strong Partnerships – Demonstrate integrity and build trust with others.
Strive for Excellence – Motivate yourself and others to achieve high standards and continuously improve.
Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
Job: IT Quality Assurance
Primary LocationUnited States-North Carolina-Charlotte
Other LocationsUnited States-Connecticut-Windsor
Job LevelIndividual Contributor
Education LevelBachelor's Degree (±16 years)
PostingMay 14, 2018, 2:37:53 PM
Remote Worker OptionNo
The Hartford is an equal employment and affirmative action employer. All qualified applicants will receive consideration without regard to race, color, sex, religion, age, national origin, disability, veteran status, sexual orientation, gender identity or expression, marital status, ancestry or citizenship status, genetic information, pregnancy status or any other characteristic protected by law. The Hartford maintains a drug-free workplace and is committed to building inclusion and leveraging diversity.