We are seeking a hands-on Data Engineer to support the Total Fund Management Portfolio Management Technology team. This role focuses on building and optimizing large-scale data processing systems in a cloud-native environment. You are expected to independently design and deliver scalable data solutions with minimal oversight.
This is not a role for someone who requires detailed task breakdowns or constant direction. Once objectives and constraints are clear, you are expected to independently drive work to completion, proactively manage risks, and communicate progress effectively.
Responsibilities:
• Develop and optimize Spark-based workloads in cloud environments
• Work with large-scale datasets using modern storage formats.
• Collaborate with stakeholders to translate data requirements into robust engineering solutions