LexisNexis Risk Solutions is looking to build a best-in-class fraud detection group of products by supporting the day-to-day operations and ongoing development of the Truth Central Data Platform.
Requirements
- Current experience in data engineering or a similar technical role
- Current proficiency in using Python and Java
- Experience with big data tools like Apache Spark and Databricks
- Experience working with NoSQL databases
- Solid understanding of data pipeline development and ETL workflows
- Knowledge of Azure fundamentals (or any other cloud platform)
- Familiarity with Infrastructure as Code tools (e.g., Terraform) and CI/CD platforms (e.g., GitHub Actions)
Responsibilities
- Collaborating with Implementation Services to onboard new clients
- Working with client managers to investigate and resolve data anomalies and production issues resulting from data anomalies
- Maintaining the Truth Central Data Platform by monitoring the architecture and maintaining or building new data processing pipelines as needed
- Supporting infrastructure and deployment workflows using CI/CD
- Coordinating with Data Engineering to deploy data artifacts into production
- Partnering with analytics teams to ensure data availability and provide retrospective support
- Building and maintaining tools for data validation and quality monitoring
Other
- Strong analytical and problem-solving skills, with experience in Agile environments
- Position is eligible for base salary plus an annual bonus
- If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
- Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants.
- 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.
