As a Senior Data Engineer, you'll play a crucial role in shaping the data infrastructure for a leading banking client. Your expertise will help build scalable data solutions that drive decision-making across the organization.
In this role, you will be responsible for designing and building robust data platforms that support a variety of banking services. Your work will involve creating scalable data pipelines and ensuring that the data infrastructure is efficient and reliable. You will collaborate closely with Data Architects to contribute to the overall solution design, ensuring that the data ecosystem meets the needs of the organization.
Your day-to-day tasks will include developing high-performance data solutions primarily using Python and SQL, with a focus on Redshift. You will also be tasked with maintaining cloud-based data infrastructure, preferably on AWS, which is essential for handling large volumes of data and supporting real-time analytics.
This position is ideal for someone with a solid background in data engineering and a passion for building scalable solutions. You should have at least five years of experience in the field, with a strong understanding of data pipeline design and optimization. Familiarity with cloud technologies and advanced SQL skills will be crucial for success in this role.
If you thrive in a fast-paced, innovative environment and are eager to make a significant impact on data-driven decision-making, this position could be a great fit for you. Your contributions will directly influence the services provided to millions of banking clients.
You'll be taken to the original listing on PNet to apply.