Highlights
Design, develop, and maintain data integration solutions to extract financial and operational data from multiple enterprise source systems for delivery to the analytics platform. • Support System Integration Testing (SIT), User Acceptance Testing (UAT), and production deployment by resolving integration defects and validating data outputs.
Numbers & Facts
| Location | New York, NY |
| Industry | Computer/IT Services |
| Salary | $70–$72 Per Hour |
| Company Size | 500 to 999 employees |
| Website | https://www.apolisrises.com/ |
Description
DevOps Engineer (Data Integration Engineer - Cash Analytics)
6+ months
Hybrid, 2 days onsite to nearest Deloitte office
Pay range - $65-70/hour on W2
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
6+ months
Hybrid, 2 days onsite to nearest Deloitte office
Pay range - $65-70/hour on W2
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
Benefits
Paid Sick Days, Employee Referral Program, Employee Events, Retirement / Pension Plans
About Company
Since 1996, RJT has provided successful SAP, Oracle, and IT consulting solutions and staffing services to clients around the world. The new Apolis brings you the same personalized service fortified with a greater array of IT solutions, global expertise, and cost-management strategies.
We are a global IT consultancy that seamlessly integrates experts and leading-edge solutions into your organization so you can focus on what really matters.