Data Engineer Level III
About the Business:
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, https://risk.lexisnexis.com
About the role:
This position performs moderate research, design, and data engineering assignments within a specific engineering functional area or product line.
Requirements:
• File management skills and logic.
• Ability to work with data models.
• Proficiency in development languages including but not limited to: Java/J2EE, Python 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.
Responsibilities:
• 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.
• 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.
• Participate in the development processes, coding best practices, and code reviews.
• Oversee specific database management ensuring structure and dataflow adheres to department standards.
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We are 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.
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