Data Engineer with AML & Financial Crime

Hi,

I would like to share an excellent opening Full time Data Engineer with AML & Financial Crime do go through the details and kindly send me the updated resume.

Location : NYC, NY (Hybrid)
Type of Hire : Contract
Mode of interview : WebEx / Teams

Basic Qualifications:

• Minimum 8+ years of experience in Data Engineering, Data Management, Data Architecture, or Data Governance.
• Minimum 5+ years of experience leading enterprise-scale data initiatives and delivering complex data solutions.
• Minimum 5+ years of Strong experience within Banking, Financial Services, Capital Markets, or Financial Institutions.
• Minimum 5+ years of Proven experience supporting Fraud Analytics, Financial Crime, AML, KYC, Risk Management, or Regulatory Reporting functions.
• Minimum 5+ years of Strong expertise in data architecture, data modeling, and enterprise data management practices.
• Minimum 5+ years of Extensive hands-on experience developing enterprise data solutions using Python and SQL.
• Minimum 5+ years of Strong experience with machine learning and AI-enabled data platforms.
• Minimum 5+ years of Hands-on experience with PyTorch for machine learning model development, feature engineering, training, inference, and deployment support.
• Minimum 5+ years of Experience building and maintaining data pipelines that support fraud detection, predictive analytics, anomaly detection, and AI-driven decision-making.
• Minimum 5+ years of Strong understanding of MLOps concepts, model lifecycle management, and integration of machine learning models within enterprise applications.
• Minimum 5+ years of Experience designing and supporting real-time and near real-time data architecture.
• Minimum 5+ years of Strong hands-on experience with:
• Apache Spark
• Hadoop Ecosystem
• SQL Server
• Distributed Data Platforms
• Enterprise Data Lakes
• Minimum 5+ years of Experience implementing enterprise data governance practices including:
• Data Quality
• Data Cataloging
• Metadata Management
• Data Lineage
• Data Security & Compliance
• Minimum 5+ years of Experience working in Linux environments and developing Python/Shell scripts.
• Minimum 5+ years of Experience with Agile development methodologies, CI/CD pipelines, source control systems, and DevOps practices.
• Strong analytical, problem-solving, communication, and stakeholder management skills.
• Ability to work effectively across geographically distributed teams and business functions.

Required Technology Experience:

• Python
• PyTorch
• Apache Spark
• Hadoop
• SQL Server
• SingleStore (Distributed SQL Database)
• Kubernetes
• Python-based Microservices
• REST APIs
• Graph APIs
• Enterprise Data Lakes
• Data Governance Frameworks
• Data Quality Platforms
• Linux
• Shell Scripting
• Autosys, Control-M, or equivalent scheduling tools
• Git, CI/CD, and DevOps Toolchains

Thanks and Regards,

Abrar Shaikh
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Ztek Consulting Inc.,

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