The Data Engineer II performs moderate research, design, and data engineering assignments within a specific engineering functional area or product line in RX Global.

The successful candidate will create data architectures, such as databases and large-scale processing systems that are used by our business to monitor, understand, and gain data science-led insights into our global events.  The Data Engineer II works as part of a highly motivated, collaborative, enthusiastic, distributed, cross-functional team, using a modern tech stack and agile & develops principles to create data architectures that are of high quality and can be deployed to and used in production with confidence - safely and reliably.

ACCOUNTABILITIES:

Design and develop data pipelines and ETL jobs on AWS Cloud platform based on functional/non-functional business requirementsDesign & implement Data Integration/Ingestion/Extraction solutions based on high level architecture designIdentify, design, and implement process improvements & delivery optimizationsCollaborate with Stakeholders and Reporting/Data Analysts to assist and translate business requirements to technical solutionsDevelop data lake solutions leveraging new or existing technology to advance the company's businessDesign, upgrade and implement new data workflows, automation, tools and API integrationsWrite and maintain technical documentationPerform unit tests and system integration testsWork with the team using Agile methodologyResolve basic technical issues as necessaryKeep abreast of new technology developmentsAll other duties as assigned.

QUALIFICATIONS:

Bachelor’s Degree (Engineering/Computer Science preferred but not required); or equivalent experience required.Experience dealing with various stakeholders in a global perspective2-4 years’ experience as a Data Engineer (or related positions) with focus on data processing and/or relational databasesExperienced with relational databases like MS SQL ServerExperienced in the following programming/scripting languages:  SQL, Python. Experienced with AWS CloudExperienced with working on Structured, Semi-Structured, Unstructured datasetsMonitor, validate, and drive continuous improvement to methods, and propose enhancements to data sources that improve usability and resultsProven stakeholder managementProven time and project management skills, experience in Agile Methodology is desiredGood communication and presentation skillsAnalytical, structured, organized, and proactiveImpeccable work ethics

LexisNexis, a division of RELX Group, is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK .

Please read our Candidate Privacy Policy.