LexisNexis Legal & Professional is a leading global provider of legal, regulatory and business information and analytics that help customers increase productivity, improve decision-making and outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® ...
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LexisNexis, a part of RELX, is a leading global provider of legal, regulatory, and business information. We help customers increase productivity and improve decision-making and outcomes. Our 10,500 experts and innovative tools help us shape a better world for our customers and communities.
About the Role
At LexisNexis we develop the legal profession’s most innovative products for data analysis, visualization, and research. We use the latest techniques in AI, machine learning, and data visualization to uncover insights about judges’ rulings, build forecasts of likely outcomes, and reveal critical connections in massive datasets spanning the law, news, and finance.
This position performs moderate research, design, and data engineering assignments within a specific engineering functional area or product line.
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.
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 and participate in the development processes, coding best practices, and code and project reviews.
Requirements
3+ years’ experience in data management area with a technical competency demonstrated.
Bachelor’s Degree (Engineering/Computer Science preferred but not required); or equivalent experience required.
Ability to work with data models and strong knowledge of data manipulation languages.
Proficiency in development languages including but not limited to: Java/J2EE, JavaScript, JSP, C/C++, HTML, XML, SQL, Windows, Unix, .Net., HPCC.
Knowledge of AWS, GCP, Azure, or other cloud platform
Experience with relational and NoSQL databases (e.g. Postgres, ElasticSearch/ OpenSearch, graph databases such as Neptune or neo4j)
Experience with technologies that power analytics (Spark, Hadoop, Kafka, Docker, Kubernetes) or other distributed computing systems
Knowledge of API development and machine learning deployment
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