DevOps Engineer (Data Integration Engineer - Cash Analytics)
W2 Only
Hybrid 2 days a week at local nearest client office
NO STUDENT VISAS PLEASE (NO OPT / CPT) - 10 Years BG Required.
Key Responsibilities
• Design, develop, and maintain data integration solutions to extract financial and operational data from multiple enterprise source systems for delivery to the analytics platform
• Analyze source system data structures and collaborate with Business Analysts to implement source-to-target mappings and transformation logic
• Develop automated data extraction, transformation, validation, and file generation processes in accordance with vendor specifications
• Build and maintain scheduled batch processes and data pipelines to support recurring data deliveries
• Implement data quality validations, reconciliation checks, and exception handling to ensure accuracy and completeness of outbound data
• Partner with business stakeholders and data owners to understand source system data, business rules, and reporting requirements
• Collaborate with vendor implementation teams to validate file formats, data mappings, and integration requirements
• Support System Integration Testing (SIT), User Acceptance Testing (UAT), and production deployment by resolving integration defects and validating data outputs
• Troubleshoot data quality issues, investigate discrepancies, perform root cause analysis, and implement corrective actions
• Optimize data extraction and transformation processes for performance, scalability, and reliability
• Produce technical documentation including interface specifications, mapping documents, transformation rules, and operational support procedures
• Support production operations by monitoring scheduled jobs, investigating failures, and ensuring timely delivery of data feeds
• Participate in Agile ceremonies and collaborate closely with Product Owners, Business Analysts, Scrum Masters, and other technical teams
Financial Services Experience
• Experience working with financial services data is preferred
• Familiarity with brokerage, wealth management, cash management, deposits, or banking data is highly desirable
• Experience performing financial data reconciliation and validation
• Understanding of data governance, auditability, and regulatory controls for financial data
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