Data Engineer with Financial Crime Compliance

About Client :- Our client is a French multinational information technology (IT) services and consulting company, headquartered in Paris, France. Founded in 1967, It has been a leader in business transformation for over 50 years, leveraging technology to address a wide range of business needs, from strategy and design to managing operations. The company is committed to unleashing human energy through technology for an inclusive and sustainable future, helping organizations accelerate their transition to a digital and sustainable world. They provide a variety of services, including consulting, technology, professional, and outsourcing services. Job Details:- location : Pune Mode Of Work : Hybrid Notice Period : Immediate Joiners Experience : 6-10 yrs Type Of Hire : Contract to Hire Primary Skills :- Data Engineer Position Summary: We are looking for a results-driven and detail-oriented Data Engineer with experience in the Financial Crime Compliance (FCC) domain to support our BSA-compliant software initiatives. This role is central to building and maintaining scalable, secure, and performant data infrastructure that powers critical AML, KYC , transaction monitoring, and regulatory reporting workflows. You will work closely with compliance analysts, product teams, and data scientists to ensure the availability of clean, reliable, and timely data that supports advanced analytics, model development, and operational reporting within the FCC space. Key Responsibilities: • Data Pipeline Development: Design, develop, and manage data pipelines that ingest, transform, and deliver large volumes of financial and customer data used in AML and BSA monitoring solutions. • Domain-Specific Data Modeling: Develop data models that support key FCC functions such as transaction monitoring, sanctions screening, KYC , and case management, adhering to BSA compliance standards. • Integration with Vendor Systems: Ingest and integrate data from internal banking systems, third-party data providers, and AML /Fraud vendor platforms such as Actimize, Verafin, Quantexa, or Symphony AI. • Regulatory Data Management: Implement controls to ensure data integrity, lineage, and traceability for regulatory audits, SAR reporting, and compliance assurance. • Performance & Scalability: Optimize data pipelines for high-volume environments where latency, throughput, and system resiliency directly impact compliance outcomes. • Collaboration: Partner with compliance SMEs, business analysts, and QA teams to understand regulatory use cases and implement data solutions that meet BSA/AML regulatory requirements. • Cloud Data Engineering: Leverage cloud-native tools on platforms like Azure or AWS for secure data storage, transformation, and delivery at scale. • Automation & CI/CD: Automate deployments and ensure version-controlled data workflows using Git, CI/CD tools, and infrastructure-as-code practices. • Monitoring & Alerts: Build monitoring capabilities to detect pipeline failures or anomalies in critical compliance datasets. • Documentation: Maintain documentation to support audit readiness, including data dictionaries, lineage, and transformation logic. Required Qualifications: • Educational Background: Bachelor’s degree in Computer Science, Information Systems, or related field. A master’s degree or industry certification is a plus. • Experience: 5+ years of experience as a Data Engineer, with at least 2+ years focused on projects in the FCC/AML/BSA domain. • Programming & Data Transformation: Proficient in Python and SQL ; experience with Spark, PySpark, or Scala is a plus. • ETL/ELT Frameworks: Experience with tools like Apache Airflow, dbt, Azure Data Factory , or Informatica in regulated environments. • Cloud Platforms: Hands-on experience with Azure, AWS, or GCP – especially Azure Synapse, Data Lake, or Snowflake for FCC data pipelines. • Data Warehousing: Deep understanding of data warehousing concepts tailored for AML monitoring and regulatory reporting needs. • FCC Domain Knowledge: o Familiarity with BSA/AML compliance regulations, Suspicious Activity Reporting (SAR), and Customer Due Diligence (CDD) data requirements. o Understanding of FCC-specific workflows such as watchlist screening, transaction scoring, and risk model data preparation. • Compliance Data Quality: Knowledge of data quality best practices and controls in high-compliance environments. • Soft Skills: o Excellent analytical and problem-solving abilities in data-centric compliance scenarios. o Strong communication skills to collaborate with both technical and compliance stakeholders. o Detail-oriented, with a strong sense of data ownership and accountability in regulatory settings. Preferred Qualifications: • Experience working with AML /Fraud platforms such as Actimize, Verafin, Quantexa, SAS, or SymphonyAI. • Exposure to financial crimes risk models, alert scoring, or graph-based risk analysis. • Familiarity with Microsoft Purview, Collibra, or other metadata management tools. • Certifications such as CAMS (Certified Anti-Money Laundering Specialist) or Microsoft Certified: Azure Data Engineer Associate. • Knowledge of regulatory reporting formats and expectations for institutions under BSA/FinCEN jurisdiction.