Data Integration Engineer/DevOps

Nasscomm, Inc.

United States

15 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Agile Methodology Audit Trail Data Governance Data Mining Data Structures Operational Data Store Scrum Methodology Simple Data Format Software Deployment System Integration Testing Data Management Data Pipelines

+1 more

Data Generation

Job description

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

Requirements

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