Join a dynamic team as a Python/Spark/AI Developer, where you'll modernize legacy systems and build robust APIs. This role is perfect for someone who thrives in an autonomous environment and has a passion for delivering high-quality code.
In this role, you'll be responsible for replatforming legacy T-SQL workloads to modern Spark and Delta Lake pipelines. You'll also develop robust APIs and AI-enabled features that enhance the functionality of existing systems. The position requires a strong understanding of Python and Spark, as well as the ability to work independently in a specification-driven environment.
Your daily tasks will include writing modern, type-safe Python code while adhering to strong testing and static-analysis practices. You'll collaborate with other developers to ensure that the code is production-quality and well-tested. This role is ideal for someone with at least four years of professional experience in Python development, particularly with Python 3.12, and familiarity with tools like Pydantic.
Key responsibilities include: • Replatforming legacy workloads to Spark and Delta Lake • Developing APIs and AI capabilities • Writing and testing production-quality code • Collaborating with team members to ensure code quality
To succeed in this role, you should have a solid background in Python and Spark, along with relevant certifications like Databricks Certified Developer for Apache Spark. If you enjoy working in a fast-paced, innovative environment and are passionate about modernizing technology, this position could be a great fit for you.
You'll be taken to the original listing on PNet to apply.