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Builds and deploys Python applications as part of a Scrum team, advising the client on solutions, documenting completed work, and reporting to a Team Leader. Core stack: Python (3.6+), Django/Flask, SQLAlchemy, REST APIs and microservices, Kafka, Docker/Kubernetes on OpenShift, and GCP.
Lead architect defining the target data architecture for a large-scale financial-services cloud transformation. Day to day: designing enterprise data platforms on Google Cloud (BigQuery, Bronze/Silver/Gold lakehouse), setting governance and quality standards, and creating data models and integration patterns for analytics and surveillance.
Principal Data Architect designing enterprise-grade data platforms on Google Cloud for financial services. The role involves shaping target data architecture, implementing Data Lakehouse patterns with BigQuery, and establishing data governance and quality standards for large-scale cloud transformations.
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