As a Senior Data Engineer, you'll be at the forefront of building and optimizing a cloud-based data platform. This role is perfect for someone who thrives on tackling complex data challenges and enjoys working in a collaborative environment.
Innovative and team-oriented
In this role, you'll be responsible for advancing a modern cloud-based data platform, which is crucial for the company's data strategy. Your expertise in Spark and Python will be essential as you work on solving complex data challenges and modernizing legacy systems. You'll collaborate with other engineers to ensure the development of scalable and high-performance data solutions.
Your day-to-day tasks will involve designing, building, and maintaining data pipelines, as well as optimizing data workflows. You'll also be expected to contribute to the overall architecture of the data platform, ensuring it meets the needs of the business. This position is ideal for someone who enjoys working with cutting-edge technologies and is eager to make a significant impact on the company's data capabilities.
Key responsibilities include: • Developing and optimizing data pipelines using Spark and Python • Collaborating with cross-functional teams to understand data needs • Modernizing legacy systems to improve performance and scalability • Ensuring data quality and integrity throughout the data lifecycle
To succeed in this role, you should have a strong background in data engineering, particularly with Spark and Python. Familiarity with Azure technologies, such as Azure Synapse Analytics and Azure Data Factory, will be advantageous. If you're a problem-solver who enjoys working in a dynamic environment, this role could be a great fit for you.
You'll be taken to the original listing on PNet to apply.