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Analytics Engineer

  • Analytics Engineer job type Posted on: Oct 26, 2026
  • Analytics Engineer experience level Openkyber
  • Analytics Engineer employment type Atlanta, Georgia
  • Analytics Engineer employment type Onsite
  • Analytics Engineer salary Full-time

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Job Title :

Analytics Engineer

Job Type :

Full-Time

Job Location :

Atlanta Georgia United States

Remote :

No

Jobcon Logo Job Description :

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

For applications and inquiries,

Jobcon Logo Position Details

Posted:

Oct 26, 2026

Reference Number:

95961-38381

Employment:

Full-time

City:

Atlanta

Job Origin:

CIEPAL_ORGANIC_FEED

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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

For applications and inquiries,

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