Design, build, and operate production-grade software and data solutions end-to-end, from problem definition and architecture through implementation, deployment, monitoring, and continuous improvement.
Design and implement reliable, scalable, secure, and well-governed data pipelines and data products using AWS and Snowflake across structured, semi-structured, and unstructured data sources.
Model, curate, and optimise Snowflake datasets, schemas, and data structures in line with enterprise platform standards, ensuring performance, quality, consistency, and usability for downstream consumers.
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· Experience: Minimum of 8–10+ years of hands-on experience in IBM Mainframe systems programming, with a deep, specialized focus on IBM IMS DB/DC administration, definition, and tuning in a large-scale enterprise environment. Financial services experience is preferred but not mandatory; experience in other high-volume transaction processing industries is also valued.