As a Senior Data Engineer, you'll play a crucial role in managing and evolving cloud-native data solutions for a banking client. This position is ideal for someone with extensive experience in data engineering and a passion for working with large datasets.
dynamic and fast-paced
In this role, you will be responsible for designing, building, and maintaining data pipelines that support the banking client's operations. You will work with cloud-native technologies to ensure data is accessible, reliable, and secure. Your expertise will help the team leverage data for better decision-making and operational efficiency.
Your daily tasks will include collaborating with data scientists and analysts to understand their data needs, optimizing existing data systems, and implementing best practices for data management. You will also be involved in troubleshooting and resolving data-related issues, ensuring that the data infrastructure is robust and scalable.
This position is well-suited for someone with a strong background in data engineering, particularly in cloud environments. You should have a solid understanding of ETL processes, data modeling, and SQL, along with experience in big data technologies being a plus. The ideal candidate is proactive, detail-oriented, and enjoys working in a collaborative setting.
Key requirements for this role include: • A minimum of 5 years of experience in data engineering • Proficiency in cloud computing and data warehousing • Strong SQL skills and experience with ETL processes • Familiarity with data governance and visualization tools is advantageous.
If you are looking to take your career to the next level in a dynamic and fast-paced environment, this role offers the opportunity to make a significant impact on the banking sector's data landscape.
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