Experience Inc. Jobs

This position performs basic moderate research, design and data engineering assignments within the Global Operations Metrics and Technology Support organization. Its primary focus is to support the data needs of Global Operations by developing and supporting data transfers in various capacities, basic database management, performing daily data loads and completing simple data engineering bug fixes.

Key responsibilities include:

• Own specific set or group of data transfers in various capacities including collection setup, data transfer setup, contributor/customer setup, etc.

• Interface with other technical personnel or team members to document, interpret, and finalize requirements.

• Produce code that is efficient, repeatable, without defects, and adherent to best practices such as naming conventions, encapsulation, etc.

• Write and review portions of detailed specifications for the development of data components.

• Complete data engineering bug fixes and issues, researching and identifying root causes as appropriate.

• Identify opportunities to apply automation or other tools to improve effectiveness or efficiency.

• Work closely with other development team members to understand product requirements and translate them into data engineering and/or data management designs.

• Innovate process improvements that enable efficient delivery and maintenance.

• Participate in the development processes, coding best practices, and code reviews.

• Oversee specific database management ensuring structure and dataflow adheres to department standards.

• Utilize various data workflow management and analysis tools.

• Good level of intimacy within a specific data content area.

• Participate in process improvement and compliance to successfully and consistently deliver high quality services on time, and to specification, resulting in flexibility to react quickly to changes in priorities or circumstances to meet business needs.

• Complete simple data engineering bug fixes and resolve technical issues as necessary.

• Work closely with other engineering team members to understand data and translate requirements.

• Operate in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders.

• Participate in project reviews.

• Keep abreast of new technology developments.

• All other duties as assigned.

Experience:

• Bachelor’s Degree in Engineering/Computer Science; or equivalent experience required.

• 3+ years’ experience in data management area with a technical competencies demonstrated. Technical Competencies include:

• File management skills and logic.

• Ability to work with data models.

• Proficiency in development languages including but not limited to: Java/J2EE, JavaScript, JSP, C/C++, HTML, XML, SQL, Windows, Unix, .Net., HPCC.

• Knowledge of Industry best practices - Code coverage.

• Knowledge of software development methodologies (e.g., Agile, Waterfall).

• Strong knowledge of data manipulation languages.

• Ability and desire to learn new processes and technologies.

• Strong problem solving skills.

• Attention to detail.

• Strong oral and written communications skills.

• Experience with Redshift, Teradata, and Tableau highly preferred.

  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. If a qualified individual with a disability or disabled veteran needs a reasonable accommodation to use or access our online system, that individual should please contact accommodations@relx.com or if you are based in the US you may also contact us on 1.855.833.5120.

  Please read our Candidate Privacy Policy (https://www.relx.com/careers/join-us/privacy)

RELX is a global provider of information and analytics for professional and business customers across industries.

We help scientists make new discoveries, lawyers win cases, doctors save lives and insurance companies offer customers lower prices. We save taxpayers and consumers money by preventing fraud and help executives forge commercial relationships with their clients.

In short, we enable our customers to make better decisions, get better results and be more productive.