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 and optimize data platforms that support data-driven decisions across the organization.
In this role, you'll be responsible for designing and building scalable data pipelines and platforms that support the needs of a major banking client. Your work will directly impact how data is utilized for decision-making, making it essential for the organization’s success. You'll collaborate with Data Architects to create robust solutions that enhance the data ecosystem.
Your day-to-day tasks will include developing high-performance data solutions primarily using Python and SQL, with a focus on Redshift. You'll also be tasked with maintaining cloud-based data infrastructure, preferably on AWS, ensuring that it is reliable, efficient, and scalable. This position is ideal for someone who enjoys tackling complex data challenges and is passionate about creating impactful data solutions.
Key responsibilities include: • Designing and building scalable data pipelines • Developing data solutions using Python and SQL • Contributing to solution design with Data Architects • Maintaining cloud-based data infrastructure
To succeed in this role, you should have at least five years of experience in data engineering, with a strong background in Python and SQL. Familiarity with AWS and data architecture principles will be beneficial. If you thrive in a fast-paced, innovative environment and are eager to make a difference in the banking sector, this position is for you.
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