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LexisNexis is dedicated to advancing the rule of law around the world, which is vital for building peace and prosperity in all societies. To accomplish this noble goal, LexisNexis is transforming legal research globally. Our search index contains more than 81 billion richly annotated legal documents, creating an unprecedented legal knowledge graph. Our technology changes how lawyers practice law by providing fast and relevant access to their most difficult questions. 

The data engineer will be dedicated to solving the scalability issues of data ingestion pipelines for the search backend of LexisNexis, dramatically improving both velocity and consistency of ETLs from data lake to Solr. We are looking for someone who can bring their own perspective on how to solve a variety of internal and external opportunities. We expect this person to be versatile, display leadership qualities, and be enthusiastic to tackle new problems as we continue to push technology forward. 

REQUIRED QUALIFICATIONS:

  • Minimum 2 years of developing and maintaining ETL pipelines in Spark / Hadoop / Kafka

Minimum 2 years of developing and maintaining ETL pipelines in Spark / Hadoop / Kafka

  • Minimum 2 years of experience in Java or Scala
  • Minimum 2 years of scaling search server clusters to accommodate increasing traffic to meet specific performance requirements
  • Experience parsing data from XML documents
  • Experience in data modeling, design and manipulation, optimization, and best practices
  • Complete complex bug fixes.
  • Minimum 5+ years of Software Engineering experience
  • BS Engineering/Computer Science or equivalent experience

Minimum 2 years of experience in Java or Scala

Minimum 2 years of scaling search server clusters to accommodate increasing traffic to meet specific performance requirements

Experience parsing data from XML documents

Experience in data modeling, design and manipulation, optimization, and best practices

Complete complex bug fixes.

Minimum 5+ years of Software Engineering experience

BS Engineering/Computer Science or equivalent experience

PREFERRED QUALIFICATIONS:

  • Advanced degree in Engineering/Computer Science. 
  • Expertise in containerization techniques such as Docker and Cloud orchestration platforms such as Kubernetes. 
  • Expertise in enterprise development languages such as Java or Scala. 
  • Expertise in test-driven development and maintenance including techniques for applying best practices for overall project benefit. (java and cucumber scripting) 
  • Software development process expert in applicable methodologies (e.g., Agile, Test Driven Development). 
  • 5+ years of experience with AWS products
  • Must include intimate familiarity with SPARK
  • Familiarity with EC2, Redshift, RDS, and S3
  • Should have hands-on experience with Athena, DynamoDB, API Gateway, Lambda, and EMR
  • AWS Certification is a plus
  • Advanced Linux shell expertise. Must be able to analyze loads and tune job scheduling.
  • Familiarity with Natural Language Processing (NLP)
  • Expert Java, or SCALA programmer
  • Expert with SQL languages (ANSI, Postgres, MySQL, etc.)
  • Expertise in server backup and recovery
  • Ability to provide guidance to junior engineers and other team members
  • Documentation skills for processes and procedures
  • identifying risks/impacts and schedule adjustments to facilitate management decision-making. 
  • Advanced communication (verbal and written) and customer service skills. 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. 

Advanced degree in Engineering/Computer Science. 

Expertise in containerization techniques such as Docker and Cloud orchestration platforms such as Kubernetes. 

Expertise in enterprise development languages such as Java or Scala. 

Expertise in test-driven development and maintenance including techniques for applying best practices for overall project benefit. (java and cucumber scripting) 

Software development process expert in applicable methodologies (e.g., Agile, Test Driven Development). 

5+ years of experience with AWS products

  • Must include intimate familiarity with SPARK
  • Familiarity with EC2, Redshift, RDS, and S3
  • Should have hands-on experience with Athena, DynamoDB, API Gateway, Lambda, and EMR
  • AWS Certification is a plus

Must include intimate familiarity with SPARK

Familiarity with EC2, Redshift, RDS, and S3

Should have hands-on experience with Athena, DynamoDB, API Gateway, Lambda, and EMR

AWS Certification is a plus

Advanced Linux shell expertise. Must be able to analyze loads and tune job scheduling.

Familiarity with Natural Language Processing (NLP)

Expert Java, or SCALA programmer

Expert with SQL languages (ANSI, Postgres, MySQL, etc.)

Expertise in server backup and recovery

Ability to provide guidance to junior engineers and other team members

Documentation skills for processes and procedures

identifying risks/impacts and schedule adjustments to facilitate management decision-making. 

Advanced communication (verbal and written) and customer service skills. 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. 

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.

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Confirmed 22 hours ago. Posted 30+ days ago.

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