Cloud Native Python Developer Opportunity

10 hours ago


Warszawa, Mazovia, Czech Republic Sales&More Full time

We are Sales&More, a company that values high product quality and a relaxed atmosphere at work. Our internal team of professionals is looking for a skilled Python Developer to join us in building cloud-native solutions mainly for internal use.

The ideal candidate will provide substantive and operational support in maintaining existing components of our solution and developing new ones. They will have the opportunity to influence the appearance, technology stack, code implementation, and subsequent maintenance of our sophisticated marketing reporting product.

Our tech stack includes:

  • Python
  • Airflow
  • PySpark
  • Git (with GitHub, CI/CD using GitHub Actions)
  • Google Cloud Platform (GCP) (BigQuery, Storage, Google Composer, Functions, Google Dataproc, Compute Engine, Pub/Sub, SQL (MySQL, PostgreSQL))
  • Terraform (for IaC automation)
  • Docker

The responsibilities of the role include:

  • Create, maintain, and improve Airflow DAGs, PySpark scripts, and CI/CD configurations
  • Monitor the solution, identify errors, and implement fixes
  • Support the development of new components of the reporting tool
  • Implement automation tools for deployment, orchestration, and testing
  • Participate in the design and implementation of new software features in the Google Cloud environment
Required Skills and Qualifications:
  • Strong Python skills with object-oriented programming, coding best practices, etc.
  • Familiarity working with Git repositories (e.g., Github or Gitlab)
  • Knowledge of popular data manipulation frameworks in Python (e.g., pandas, PySpark)
  • Knowledge of SQL, used mainly with BigQuery
  • Knowledge of AIRFLOW platform

We also value:

  • Familiarity with any cloud provider, preferably GCP
  • Experience with developing and maintaining Apache Airflow dags
  • Knowledge of CI/CD tools like Github Actions
  • Familiarity with IaC tools, preferably Terraform
  • Familiarity with Django
  • Some experience with Docker
Benefits:
  • Training budget


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