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Data Enginer - Remote

Roles & Responsibilities

  • 2+ years of proven professional Python development experience
  • 1+ years of experience using FastAPI, Pydantic, and SQLAlchemy Frameworks
  • 2+ years of experience with automated unit testing using PyTest
  • Experience with RESTful APIs (preferably utilizing HATEOAS)

Requirements:

  • Participate in design and development of Python / FastAPI based service components
  • Design versioned service endpoints that evolve over time
  • Deploy components in a Cloud-based Kubernetes environment
  • Build SQL DDL and DML Queries that execute against Snowflake and PostgreSQL environments

Job description


Job Title - Data Engineer
Location - Remote
Duration - 12 Plus Months
Rate - DOE
Work Authorization – USC, GC, GC-EAD, H4EAD, TN, L2EAD


Job Description
  • Participate in design and development of Python / Fast API based service components
  • Design versioned service endpoints that evolve over time
  • Deploy components in a Cloud-based Kubernetes environment
  • Build SQL DDL and DML Queries that execute against Snowflake and PostgreSQL environments
  • Perform unit and integration testing in PyTest
  • 2+ years of proven professional Python development experience
  • 1+ years of experience using FastAPI, Pydantic, and SQL Alchemy Frameworks
  • 2+ years of experience with automated unit testing using PyTest
  • (Preferred) Experience building metadata driven highly dynamic services
  • (Preferred) Experience building SQL DDL and DML Queries for running Data Analytics against Large Data Sets (Snowflake)
  • Experience with RESTful APIs (preferably utilizing HATEOAS)
  • Experience with using CI/CD pipelines (GitHub Actions Preferred)

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