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IDF Dataflow Analyst

SFI is seeking an IDF Dataflow Analyst to support a large-scale data modernization initiative transitioning legacy, on-premise systems into a centralized, high-availability cloud data platform. This role is part of a Dataflow Team that serves as the critical bridge for the movement of real-time, high-volume data across a complex enterprise environment.


Over the next 6–12 months, the primary focus will be on supporting the development and population of a centralized, real-time data repository designed to enable scalable data access, advanced analytics, and future AI/ML capabilities.


Key Responsibilities

  • Support the ingestion and migration of large-scale datasets into a cloud-based data platform
  • Assist in modernizing legacy dataflow pipelines into automated, cloud-native solutions
  • Maintain high availability and reliability of real-time data delivery across hybrid environments
  • Monitor, troubleshoot, and optimize data ingestion and routing processes

Primary Responsibilities

  • Data Lifecycle Management:
    Manage the end-to-end flow of real-time data, including validation, quality control, archival, and retrieval
  • Cloud Data Ingest Support:
    Execute and support ingestion processes for mission-critical datasets into the cloud environment
  • Pipeline Modernization:
    Assist in transitioning legacy workflows into API-driven and automated scripting solutions (Python/Bash)
  • Operational Monitoring & Support:
    Ensure continuous data flow in a 24/7 environment; troubleshoot and resolve data delivery issues
  • System Integration & Performance:
    Monitor and optimize data routing applications and cloud services to ensure performance and low latency
  • Scripting & Maintenance:
    Maintain and enhance scripts and legacy tools (Bash, Perl, SQL) while supporting migration to modern solutions
  • CI/CD & Automation:
    Support automated deployment, testing, and monitoring of dataflow applications and pipelines
  • Tier 2 Support:
    Serve as a technical escalation point for complex data ingestion and formatting issues
  • Documentation:
    Develop and maintain technical documentation, processes, and configuration standards
  • On-Call Support:
    Participate in a 24/7 on-call rotation to support mission-critical operations
  • Stakeholder Collaboration:
    Work with internal teams and external partners to resolve data access, formatting, and integration challenges

See also

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