This entry-level position performs basic data engineering assignments within a specific engineering functional area or product line.

QUALIFICATIONS:

Bachelor’s degree holderMinimum of 1 year experience in Python with technical competencies demonstrated.

TECHNICAL SKILLS:

Version control system (Git) skills.Ability to assist with process improvement and compliance.Knowledge of Python, preferably for web scraping.Familiarity with Command-Line Interface and UNIX commands.Familiarity with IDEs, PyCharm preferred.Debugging skills.Ability and desire to learn new processes and technologies.Problem-solving skills.Good attention to detail.Good oral and written communication skills.

ACCOUNTABILITIES:

Write Python scripts that automate data collection from target sites, adhering to established data output models.Utilize established functions and strategies for web scraping as documented.Monitor long-running scripts and debug based on error messages.Escalate ticket obstacles to more senior engineers, implementing feedback from code reviews.For each ticket assigned, clearly describe progress and obstacles, and log time spent.Operate in various development environments while collaborating with key stakeholders.Attend regular meetings, ready to describe progress and encountered obstacles.Innovate new solutions to new obstacles.Resolve basic technical issues as necessary.Keep abreast of new technology developments.All other duties assigned.

LexisNexis, a division of RELX, 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 , or please contact 1-855-833-5120.

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