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Develop and maintain fintech applications using Java and Spring Boot. Design secure RESTful APIs for financial transactions, translate financial workflows into technical solutions, ensure PCI DSS and GDPR compliance, and optimize high-volume, low-latency systems. Participate in Agile ceremonies, code reviews, CI/CD, Docker, cloud, and DevOps practices while collaborating with product managers, analysts, business units, leaders, associates, and clients.

Leads data engineering initiatives involving ETL/ELT pipelines, database optimization, orchestration, big data technologies, data modeling, BI performance, and data quality monitoring. Requires strong Scala, Python, SQL, and shell scripting skills, plus payments-domain expertise covering transaction processing, settlements, disputes, reconciliation, gateways, acquiring, issuing, and PCI-DSS compliance. The role also involves cross-functional communication, planning, facilitation, negotiation, and collaboration with senior stakeholders and clients.

Designs and maintains automation scripts for network provisioning, application deployment, CI/CD integration, regression testing, and server monitoring. Deploys applications to WebLogic and JBoss, supports development-to-production transitions, and builds proactive alerting for server and application health using Python, Bash, and shell scripting.

Lead digital technology modernization programs across clients and portfolios. Develop master program plans, objectives, resource allocations, timelines, and monitoring processes. Establish the IoT ThingWorx Platform and coordinate multiple proof-of-concept projects. Facilitate Agile ceremonies, planning sessions, workshops, and stakeholder meetings. Design migration strategies and technical approaches for integrating applications and services with vendor solutions.

Develop secure, high-performance financial transaction systems using Java, Spring Boot, microservices, React.js, and RESTful APIs. Build and integrate financial APIs using OAuth2 and JWT, ensure PCI DSS and GDPR compliance, optimize high-volume low-latency applications, and collaborate with product teams. Participate in Agile practices, code reviews, and DevOps activities while delivering technical solutions across business and product stakeholders.

Designs and maintains scalable cloud data architectures, pipelines, ETL processes, data warehouses, databases, and data models. Ensures data quality, accuracy, security, availability, and consistency across sources. Develops SQL queries for analytics and reporting, and documents pipelines, schemas, architectures, and models. The role requires expertise with Python, Java, Scala, R, SQL, relational and NoSQL databases, cloud platforms, and Snowflake.