LexisNexis Risk Solutions is looking to solve complex business problems in areas such as Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation, and Customer Data Management by providing advanced analytical solutions and migrating in-house tools to cloud-based solutions leveraging Azure services.
Requirements
- Experience in data management area with a technical competencies demonstrated.
- File management skills and logic.
- Ability to work with data models.
- Proficiency in development languages including but not limited to: Python, SQL, PowerShell, Java/J2EE, JavaScript, JSP, C/C++, HTML, XML, Windows, Unix, .Net., HPCC.
- Strong knowledge of data manipulation languages.
- Knowledge of analytical solutions - Microsoft Power Platform
- Knowledge of version control systems (e.g., Git, GitHub).
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.
Other
- Ability and desire to learn new processes and technologies.
- Strong problem solving skills.
- Attention to detail.
- Strong oral and written communications skills.
- Operate in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders.
