As a Senior Data Engineer, you'll be key in building and enhancing a cloud-based data platform. If you have a passion for tackling complex data issues and modernizing systems, this role is for you.
Innovative and team-oriented
In this role as a Senior Data Engineer, you will be instrumental in developing and improving a cloud-based data platform. Your expertise in Spark and Python will be crucial as you tackle complex data challenges and work on modernizing legacy systems. You will collaborate with a team of engineers who are dedicated to creating scalable and high-performance data solutions.
Your day-to-day responsibilities will include: • Designing and implementing data pipelines using Spark and Python. • Working with Azure technologies, including Azure Synapse Analytics and Azure Data Factory. • Collaborating with cross-functional teams to ensure data solutions meet business needs. • Troubleshooting and optimizing existing data processes for better performance.
This position is ideal for someone with at least five years of experience in data engineering, particularly with a strong background in Spark and Python. Familiarity with Azure services and SQL will be beneficial. If you enjoy working in a collaborative environment and are passionate about data, this role will suit you well. You will have the opportunity to make a significant impact on the company's data strategy and contribute to innovative projects.
You'll be taken to the original listing on PNet to apply.