Join a dynamic team as a Python/Spark/AI Developer and play a key role in modernizing data pipelines. This position is ideal for someone who thrives in a specification-driven environment and is passionate about delivering high-quality code.
As a Python/Spark/AI Developer, you'll be at the forefront of transforming legacy T-SQL workloads into modern Spark and Delta Lake pipelines. Your main responsibility will be to develop robust APIs and integrate AI capabilities into the existing infrastructure. This role requires a developer who is not only skilled in Python but also comfortable with Spark technologies and can work independently to meet specifications.
In your day-to-day work, you will focus on writing modern, type-safe Python code while adhering to strong testing and static analysis practices. You'll be expected to deliver production-quality code that is well-tested and maintainable. Your experience with Python 3.12, including type hints and modern packaging, will be crucial in ensuring the quality of your work.
Key responsibilities include: • Replatforming legacy workloads to modern data pipelines • Developing and maintaining APIs • Implementing AI-enabled features • Collaborating with other team members to ensure project success
To succeed in this role, you should have at least 4 years of professional experience in Python development, with a strong understanding of Spark. A Databricks certification or equivalent is preferred, as it demonstrates your expertise in working with these technologies. If you're looking for a challenging role that allows you to leverage your skills in a supportive and innovative environment, this position could be a great fit.
You'll be taken to the original listing on PNet to apply.