Python Engineer

Responsibilities/Duties

• Design and develop scalable and reliable software applications and APIs.

• Use complex SQL knowledge and experience to work with relational databases, BigQuery, and various other databases.

• Implement robust, scalable, secure, and performant API architecture design, including RESTful services and microservices, into different development, testing, and production environments.

• Use a strong understanding of software design patterns and best practices to determine the best solutions for the use case.

Minimum Qualifications

• Bachelor's degree in Computer Science or related field or equivalent experience required.

• 6+ years of relevant experience in software development and engineering.

• In-depth knowledge of Google Cloud Platform (GCP) data services such as BigQuery, Dataflow, Dataproc, and Pub/Sub, with proven experience implementing software solutions utilizing one to many of these tools. In lieu of, an understanding of how they fit within a back-end technology stack.

• Strong programming skills in Python and SQL.

• Experience with popular Python frameworks such as Django and FastAPI.

• Experience with containerization locally as well as on public/private cloud technologies, primarily using Docker and Kubernetes.

• Extensive experience writing and optimizing complex SQL queries.

• Ability to take technical requirements and produce functional code.

• Experience with version control systems such as Git.

• Ability to communicate effectively with technical and non-technical client stakeholders.

• Proactive collaborator who works with colleagues to improve their technical aptitude.

• Experience using and/or creating APIs.

• Experience with any of the following additional database management systems: MS SQL Server, MongoDB, PostgreSQL, NoSQL (e.g., Cassandra), Sybase, IBM Db2, or Oracle Database.

• Experience writing unit tests to ensure code quality using testing frameworks such as PyTest or unit test.

• Experience working with unstructured datasets.

• Ability to implement infrastructure as code (IaC) using tools like Terraform or CloudFormation.