Join a dynamic team focused on modernizing data platforms. As a Data Engineer, you'll work with cutting-edge technologies to transform legacy systems into efficient data pipelines.
In this role, you'll be part of a team dedicated to modernizing data platforms for a leading company. Your primary focus will be on replatforming legacy T-SQL workloads onto Spark and Delta Lake pipelines. This is a great opportunity for someone who enjoys working with data and is passionate about leveraging AI technologies to enhance data processing capabilities.
Your day-to-day responsibilities will include collaborating with data engineers and other stakeholders to design and implement efficient data pipelines. You'll be expected to write clean, maintainable code in Python and utilize Spark for data processing tasks. Additionally, you may work on API development to ensure seamless integration of data services.
The ideal candidate will have a solid background in Python and Spark, along with experience in AI applications. Familiarity with Delta Lake and API development is a plus. You should be comfortable working in a fast-paced environment and be ready to tackle the challenges of modernizing data systems.
This role suits someone with at least three years of experience in data engineering or a related field. If you are eager to work with innovative technologies and contribute to significant data transformation projects, this position could be a perfect fit.
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