As a Senior Data Engineer, you'll play a key role in shaping the data landscape for a major banking client. Your expertise will help build and optimize data platforms that support critical decision-making processes.
Innovative and data-driven
In this role, you'll be responsible for designing and building scalable data pipelines and platforms that support the banking client's operations. Your work will directly influence how data is utilized across the organization, enabling informed decision-making and enhancing service delivery to millions of clients.
Your day-to-day tasks will include developing high-performance data solutions using Python and advanced SQL, with a focus on Redshift. You'll collaborate closely with Data Architects to contribute to solution design and ensure that the data infrastructure is robust, reliable, and scalable. This position requires a strong understanding of cloud-based data infrastructure, preferably on AWS, to maintain and enhance the existing systems.
This role is ideal for someone with a solid background in data engineering and a passion for building efficient data solutions. You should have at least five years of experience in the field, with a proven track record in developing data pipelines and working with cloud technologies. If you're looking to make a significant impact in a dynamic environment, this position could be a great fit for you.
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