Lead Financial Crimes Data Engineer / NetReveal Architect-JC/CLT (Application Programmer III

Lead Financial Crimes Data Engineer / NetReveal Architect-JC/CLT (Application Programmer III Experis

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3 Jersey City, NJ Job Details Contract 5 hours ago Benefits Health insurance Qualifications Data model design Anti-money laundering Data Architecture Design (Architecture design skills) Informatica PL/SQL Dimensional modeling Stakeholder management Full Job Description Our client, a leading organization in the financial services industry, is seeking a dedicated Lead Financial Crimes Data Engineer / NetReveal Architect-JC/CLT (Application Programmer III) to join their dynamic team. As a Lead Financial Crimes Data Engineer / NetReveal Architect-JC/CLT (Application Programmer III), you will be an integral part of the Financial Crimes Compliance Department supporting Sanctions and AML screening workflows. The ideal candidate will demonstrate strong problem-solving skills, effective communication, and self-direction, aligning seamlessly with the organization's commitment to excellence and innovation.

Job Title:

Lead Financial Crimes Data Engineer / NetReveal Architect-JC/CLT (Application Programmer III)

Location:

Jersey City, NJ /

Charlotte, NC Pay Range:

What's the Job? Design, develop, and deploy enterprise-level sanctions and AML screening solutions on the NetReveal platform. Collaborate with cross-functional teams to estimate, groom, and deliver project stories on time, ensuring high-quality outputs. Utilize extensive experience in Oracle SQL, PL/SQL, and Informatica/ETL to process large-scale data efficiently. Optimize database schemas and queries for scalability and performance in high-volume environments. Engage with business partners and stakeholders to understand requirements and translate them into technical solutions. What's Needed? 15+ years of experience in application development within financial crimes, sanctions, or AML domains. Proficiency in Oracle database architecture, SQL, PL/SQL, and Informatica (PowerCenter and IDMC). Hands-on experience with relational and dimensional data modeling, including Star and Snowflake schemas. Knowledge of cloud/data engineering concepts, containers, and platforms such as Docker, Kubernetes, AWS, Azure, or GCP. Strong understanding of financial crimes workflows, sanctions screening, PEP/negative news screening, and related processes. What's in it for me? Opportunity to work on impactful projects within a leading financial institution. Engagement with cutting-edge data engineering and AML/sanctions screening technologies. Collaborative environment that values innovation and continuous learning. Potential for career growth within a global organization. Access to comprehensive health and wellness benefits upon completion of waiting period. If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!

About ManpowerGroup, Parent Company of:

Manpower, Experis, Talent Solutions, and Jefferson Wells. ManpowerGroup® (

NYSE:

MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands

• Manpower, Experis, Talent Solutions, and Jefferson Wells
• creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity
• as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year
• all confirming our position as the brand of choice for in-demand talent.