Senior Data Engineer - BFSI Cloud & Payments Platform

PeopleNTech LLC
  • Alexandria, VA
  • $65–$70 Per Hour
  • Quick Apply
12 days ago

Job Description

Indent :SF_OP_206831-1-2
Role : Senior Data Engineer - BFSI Cloud & Payments Platform
Location : Charlotte, NC (Hybrid)
Rate: $65/hr to $70/hr

Role Summary
We are seeking an experienced Senior Data Engineer to design, develop, and optimize large-scale real-time data platforms supporting transaction tracing, reconciliation, observability, analytics, and graph-enabled investigations for Banking and Financial Services (BFSI) clients. The role requires expertise in streaming architectures, event-driven systems, distributed data processing, transaction lifecycle management, and modern cloud data platforms.

Key Responsibilities
Real-Time Data Engineering & Platform Development
  • Design and develop real-time and batch data ingestion pipelines.
  • Build scalable data processing frameworks using Kafka, Spark Streaming, and PySpark.
  • Develop cloud-native and distributed data processing solutions.
  • Create reusable data engineering components, frameworks, and accelerators.
  • Design highly available, fault-tolerant, and performance-optimized data pipelines.
  • Establish data engineering standards, patterns, and best practices.
BFSI Data Processing & Transaction Traceability
Develop and support data solutions across:
  • Payments Platforms (ACH, RTP, FedNow, SWIFT, ISO 20022)
  • ATM Transaction Processing
Key responsibilities include:
  • Design transaction tracing and correlation frameworks.
  • Create canonical transaction and event processing models.
  • Correlate transactions using STAN, RRN, timestamps, terminal IDs, and account references.
  • Build reconciliation and exception management workflows.
  • Enable end-to-end transaction lifecycle visibility and auditability.
  • Perform log analysis and transaction mapping.
Data Quality, Reliability & Observability
  • Implement reconciliation, validation, and data quality frameworks.
  • Establish end-to-end lineage tracking across all processing stages.
  • Detect missing transactions, duplicate events, processing anomalies, and broken lineage chains.
  • Build monitoring, alerting, and operational observability solutions.
  • Define data quality metrics, SLAs, and operational dashboards.
  • Support root-cause analysis and transaction recovery investigations.
Security, Governance & Compliance
  • Ensure adherence to banking security and regulatory requirements.
  • Implement secure data processing and access control mechanisms.
  • Implement data encryption, masking, and secure data handling practices.
  • Support audit, lineage, traceability, and regulatory reporting requirements.
  • Ensure compliance with enterprise data governance standards.
Cloud Engineering & DevSecOps
  • Build and deploy cloud-native data engineering solutions.
  • Implement CI/CD pipelines for data platform deployments.
  • Support containerized workloads and Kubernetes-based data platforms.
  • Enable DevSecOps practices across data engineering solutions.
Data, Analytics & Knowledge Graph Engineering
  • Design Operational Data platform Data pipelines.
  • Develop real-time analytics and event-streaming pipelines.
  • Design data preparation and transformation pipelines for Neo4j and graph databases.
  • Implement entity extraction and relationship mapping frameworks.
  • Build graph-ready datasets supporting transaction tracing and investigation.
  • Support graph analytics, impact analysis, and root-cause investigations.
  • Enable AI/ML and GenAI initiatives through trusted and governed data assets.
Leadership & Stakeholder Management
  • Collaborate with solution architects, business teams, operations, payments, fraud, and technology stakeholders.
  • Participate in architecture reviews, technical governance, and design discussions.
  • Mentor junior and mid-level data engineers.
  • Support estimation, planning, and technical solution discussions.

Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or related field.
  • 8+ years of experience in Data Engineering and distributed data processing.
  • Strong hands-on expertise with:
    • Apache Kafka
    • Apache Spark/PySpark
    • Python
    • SQL
    • NOSQL DB
    • CDC Frameworks
    • Event-Driven Architectures
    • Graph Databases
  • Experience building large-scale streaming and batch processing pipelines.
  • Strong understanding of distributed systems and real-time data processing.
  • Experience with Operational Data platforms
  • Knowledge of transaction processing systems, event correlation, and log analytics.
  • Strong troubleshooting, performance tuning, and optimization skills.


Preferred Qualifications
  • Banking and Financial Services domain experience.
  • Hands-on experience with Payments and Transaction Processing platforms.
  • Knowledge of ISO 8583, ACH, RTP, SWIFT, and ISO 20022 standards.
  • Experience with Neo4j and Graph Database technologies.
  • Familiarity with Knowledge Graph and Graph Analytics solutions.
  • Experience supporting observability and transaction monitoring platforms.
  • Exposure to AI/ML and GenAI-enabled analytics solutions.
  • Cloud certifications in Azure, AWS, or GCP preferred.

Success Measures
  • High-performance real-time data processing pipelines.
  • Accurate transaction correlation and traceability across systems.
  • Reliable transaction lineage and audit tracking.
  • High-quality graph-ready datasets supporting investigations and analytics.
  • Improved observability and operational monitoring.
  • Reduced transaction processing failures and reconciliation gaps.
  • Secure, scalable, and compliant data engineering solutions.
  • Successful delivery of enterprise-grade data platforms supporting banking and payments modernization.

Numbers & Facts

LocationAlexandria, VA
Salary$65–$70 Per Hour

Skills

  • ATMunmatched
  • Access Controlunmatched
  • Amazon Web Services (AWS)unmatched
  • Analysis Skillsunmatched
  • Apache Kafkaunmatched
  • Apache Sparkunmatched
  • Artificial Intelligence (AI)unmatched
  • Banking Regulationsunmatched
  • Banking Servicesunmatched
  • Best Practicesunmatched
  • Business Operationsunmatched
  • Centers for Disease Control and Prevention (CDC)unmatched
  • Cloud Computingunmatched
  • Computer Scienceunmatched
  • Continuous Deployment/Deliveryunmatched
  • Continuous Integrationunmatched
  • Cryptographyunmatched
  • Data Analysisunmatched
  • Data Managementunmatched
  • Data Processingunmatched
  • Data Qualityunmatched
  • Data Setsunmatched
  • Database Technologyunmatched
  • Distributed Computingunmatched
  • Event Correlationunmatched
  • Financial Servicesunmatched
  • GCP (Good Clinical Practices)unmatched
  • High Availabilityunmatched
  • ISO (International Organization for Standardization)unmatched
  • Identify Issuesunmatched
  • Information Technology & Information Systemsunmatched
  • Information/Data Security (InfoSec)unmatched
  • Leadershipunmatched
  • Maintain Complianceunmatched
  • Mentoringunmatched
  • Microsoft Windows Azureunmatched
  • Neo4junmatched
  • NoSQLunmatched
  • Operational Improvementunmatched
  • Payment Processingunmatched
  • Performance Tuning/Optimizationunmatched
  • Python Programming/Scripting Languageunmatched
  • Quality Metricsunmatched
  • Realtime Transport Protocolunmatched
  • Reconciliationunmatched
  • Regulatory Reportsunmatched
  • Regulatory Requirementsunmatched
  • Reporting Dashboardsunmatched
  • Root Cause Analysisunmatched
  • SQL (Structured Query Language)unmatched
  • Scalable System Developmentunmatched
  • Service Level Agreement (SLA)unmatched
  • Software Engineeringunmatched
  • Technical/Engineering Designunmatched
  • Traceabilityunmatched
  • Transaction Processing/Managementunmatched

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