G
Georgia IT, Inc.
Posted 26 days agoVerified live 6h ago

Data Engineer- Remote

Brief overview

Remote
2+ yrsMinimum
PythonFastAPIPydanticSQL AlchemyPyTestSQL DDLSQL DMLSnowflakePostgreSQLRESTful APIsHATEOASKubernetesCI/CD pipelinesGitHub Actions

About the company

G
Georgia IT, Inc.georgiait.com

Georgia IT, Inc. provides IT Consulting for a wide range of IT services and custom build turn-key enterprise solutions.

Job description

Summary

Georgia IT, Inc. is seeking a Data Engineer for a remote contract position. The role involves designing and developing service components using Python and FastAPI, deploying them in a cloud-based Kubernetes environment, and building SQL queries for data analytics.

Responsibilities

  • 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

Skills

  • 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
  • Experience with RESTful APIs (preferably utilizing HATEOAS)
  • Experience with using CI/CD pipelines (GitHub Actions Preferred)
  • USC, GC, GCEAD and L2EADS Are only preferred
  • Experience building metadata driven highly dynamic services
  • Experience building SQL DDL and DML Queries for running Data Analytics against Large Data Sets (Snowflake)

Qualifications

Must Haves

  • 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
  • Experience with RESTful APIs (preferably utilizing HATEOAS)
  • Experience with using CI/CD pipelines (GitHub Actions Preferred)

Nice to Haves

  • USC, GC, GCEAD and L2EADS Are only preferred
  • Experience building metadata driven highly dynamic services
  • Experience building SQL DDL and DML Queries for running Data Analytics against Large Data Sets (Snowflake)

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