Python Data Engineer at ShyftLabs

Candidates must have over 5 years of professional software development experience with Python and SQL, along with a strong understanding of software engineering best practices including testing, version control, and CI/CD. Proficiency in building and optimizing ETL/ELT processes and data pipelines, along with strong SQL and database concepts, is required. Experience with data processing frameworks like Pandas, understanding of software design patterns and architectural principles, and the ability to write clean, maintainable code are essential. Experience with unit testing, test automation, any cloud provider (GCP preferred), CI/CD pipelines, Infrastructure as Code, and containerization technologies like Docker or Kubernetes is also necessary.