Brillio, LLC

Lead Engineer - R01572451

• Posted 5 days ago • Updated 8 hours ago
Full Time
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Python
  • Scripting
  • Data Analysis
  • API
  • Testing
  • Meta-data Management
  • Modeling
  • Mapping
  • Data Quality
  • JSON
  • YAML
  • SQL
  • Caching
  • Production Engineering
  • Git
  • Continuous Integration
  • Continuous Delivery
  • Production Support
  • Financial Services

Summary

Lead Engineer
Job requirements
    5-6+ years of recent, hands-on Python development, including ownership of production services, reusable libraries and automation-not only scripts, notebooks or data analysis. Practical FastAPI and Pydantic experience covering API creation, schema design, complex validation, serialization, async processing, error handling and testing. Strong conceptual, logical, physical and metadata modelling, including canonical models, data contracts, source-to-target mapping, schema versioning, lineage and data quality. Experience processing large JSON, YAML and SQL datasets, with practical knowledge of batching, retries, idempotency, caching and performance optimisation. Strong production engineering practices: PyTest, Git, code reviews, CI/CD, deployment, monitoring and production support. A hands-on go-getter who can contribute from day one, work independently and deliver production-ready solutions quickly. Financial-services or regulated-domain experience is preferred 5-6+ years of recent, hands-on Python development, including ownership of production services, reusable libraries and automation-not only scripts, notebooks or data analysis. Practical FastAPI and Pydantic experience covering API creation, schema design, complex validation, serialization, async processing, error handling and testing. Strong conceptual, logical, physical and metadata modelling, including canonical models, data contracts, source-to-target mapping, schema versioning, lineage and data quality. Experience processing large JSON, YAML and SQL datasets, with practical knowledge of batching, retries, idempotency, caching and performance optimisation. Strong production engineering practices: PyTest, Git, code reviews, CI/CD, deployment, monitoring and production support. A hands-on go-getter who can contribute from day one, work independently and deliver production-ready solutions quickly. Financial-services or regulated-domain experience is preferred
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90672149
  • Position Id: 5076787b8524d3e9399bb2685079f21b
  • Posted 5 days ago
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