Data Integration Engineer/DevOps - (Cash Analytics) W2

Role: Data Integration Engineer/DevOps - (Cash Analytics)
Duration: 5+ Months
Location: Hybrid 2 days a week at local Deloitte office

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