Sr. Data Engineer - REMOTE

• 5+ years building data pipelines in production and ability to work across structured, semi-structured and unstructured data
• Extensive experience developing Apache Spark applications
• 3+ years data modeling (e.g. star schema, entity-relationship)
• 3+ years writing clean, maintainable, and robust code in Python and Scala
• 3+ years of experience with relational database design (SQL), non-relational (NoSQL) databases, big data, real-time technologies
• 3+ years experience with AWS services (EC2, Redshift, RDS, S3, Athena, DynamoDB, API Gateway, Lambda, and EMR )
• Writing stored procedures, functions, and ETL jobs
• Solid knowledge of architectural principles.
• Advanced problem-solving experience involving leading teams in identifying, researching, and coordinating the resources necessary to effectively troubleshoot/diagnose complex project issues; prior success extracting/translating findings into alternatives/solutions.
• Strong interpersonal, communication, and presentation skills applicable to a wide audience including senior and executive management, customers, etc., including diction/terminology and presenting information in a concise and effective manner to clients, management, and various departments using assorted communication mediums
  

ACCOUNTABILITIES:

• Perform daily data loads ensuring recurring updates are logged and tracked.
• 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 complex 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 complex product requirements and translate them into data engineering and/or data management designs.
• Innovate process improvements that enable efficient delivery and maintenance.
• Successfully implement development processes, coding best practices, and code reviews.
• Operate in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders.
• Identify areas where it is an advantage to work with other teams to improve overall quality, and, with peers or others, implement initiatives improving capabilities and efficiency.
• Train entry-level data engineers as directed by department management, ensuring they are knowledgeable in critical aspects of their roles.
• Keep abreast of new technology developments.
• Design and works with complex data models.
• Mentor less senior data engineers on methodologies and optimization techniques.

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 [email protected] or if you are based in the US you may also contact us on 1.855.833.5120.

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