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Designs scalable Azure data architectures and builds and maintains data pipelines, transforming data and ensuring quality across systems. Core stack: Azure Data Lake, SQL Data Warehouse, Data Factory, Fabric, with SQL or Python and DevOps.
Data engineer designing scalable data architectures and building ETL pipelines on Microsoft Azure (Fabric, Data Factory, Data Lake, SQL Data Warehouse), handling integration, storage optimization, security, and monitoring using SQL/Python and DevOps. Requires 3+ years of IT/data engineering experience; SAP Datasphere and AI-assisted tasks preferred.
Lead Java developer designing, building, testing, and enhancing secure, scalable applications for end-to-end onboarding of asset and wealth management clients. Day-to-day work spans Java services, React UIs, SQL data stores, and Unix-hosted processes, with an emphasis on secure coding, testing, and Agile delivery.
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