[Remote] Data Integration Engineer/DevOps - (Cash Analytics)
Note: The job is a remote job and is open to candidates in USA. Nasscomm is seeking a Data Integration Engineer/DevOps professional for a Cash Analytics role. The position focuses on designing, developing, maintaining, and optimizing enterprise data integration solutions, automated ETL processes, data pipelines, and financial data feeds while supporting validation, reconciliation, deployment, and production operations.
Responsibilities
- Experienced Data Integration professional with strong expertise in designing, developing, and maintaining enterprise data integration solutions
- Skilled in extracting financial and operational data from multiple source systems and delivering data to analytics platforms
- Strong experience analyzing source data structures and developing source-to-target mappings, transformation logic, and business rules
- Proficient in building automated ETL processes for data extraction, transformation, validation, reconciliation, and file generation
- Experienced in developing and supporting scheduled batch processes and recurring data pipelines
- Strong background in data quality validation, exception handling, discrepancy investigation, and root cause analysis
- Collaborates effectively with Business Analysts, Product Owners, Data Owners, vendors, and technical teams
- Experienced in SIT, UAT, integration defect resolution, production deployment, and data output validation
- Skilled in optimizing data pipelines for performance, scalability, reliability, and operational efficiency
- Strong documentation experience covering interface specifications, mapping documents, transformation rules, and operational procedures
- Experienced in monitoring production jobs, troubleshooting failures, and ensuring timely delivery of data feeds
- Familiar with financial services, including brokerage, wealth management, cash management, deposits, and banking data
- Knowledgeable in financial data reconciliation, governance, auditability, and regulatory controls
- Comfortable working in Agile environments and participating in Scrum ceremonies
Skills
- Experienced Data Integration professional with strong expertise in designing, developing, and maintaining enterprise data integration solutions
- Skilled in extracting financial and operational data from multiple source systems and delivering data to analytics platforms
- Strong experience analyzing source data structures and developing source-to-target mappings, transformation logic, and business rules
- Proficient in building automated ETL processes for data extraction, transformation, validation, reconciliation, and file generation
- Experienced in developing and supporting scheduled batch processes and recurring data pipelines
- Strong background in data quality validation, exception handling, discrepancy investigation, and root cause analysis
- Collaborates effectively with Business Analysts, Product Owners, Data Owners, vendors, and technical teams
- Experienced in SIT, UAT, integration defect resolution, production deployment, and data output validation
- Skilled in optimizing data pipelines for performance, scalability, reliability, and operational efficiency
- Strong documentation experience covering interface specifications, mapping documents, transformation rules, and operational procedures
- Experienced in monitoring production jobs, troubleshooting failures, and ensuring timely delivery of data feeds
- Familiar with financial services, including brokerage, wealth management, cash management, deposits, and banking data
- Knowledgeable in financial data reconciliation, governance, auditability, and regulatory controls
- Comfortable working in Agile environments and participating in Scrum ceremonies
Benefits
- Hybrid work arrangement: 2 days a week at a local Deloitte office
Company Overview
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