Sr Azure Data Engineer/Architect

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    "description": "<p>Responsibilities</p>\n<p>Assure that data is cleansed, mapped, transformed, and otherwise optimised for storage and use according to business and technical requirements</p>\n<p>Develop and maintain innovative Azure solutions</p>\n<p>Solution design using Microsoft Azure services and other tools</p>\n<p>The ability to automate tasks and deploy production standard code (with unit testing, continuous integration, versioning etc.)</p>\n<p>Load transformed data into storage and reporting structures in destinations including data warehouse, high speed indexes, real-time reporting systems and analytics applications</p>\n<p>Build data pipelines to collectively bring together data</p>\n<p>Other responsibilities include extracting data, troubleshooting and maintaining the data warehouse</p>\n<p><br></p>\n<p>Tech Stack</p>\n<p>Python</p>\n<p>SQL and NoSQL databases</p>\n<p>Scala</p>\n<p>Spark-SQL</p>\n<p>Experience with Azure: ADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates</p>\n<p><br></p>\n<p>Qualifications</p>\n<p>Previous experience as an Azure Data Engineer or similar role</p>\n<p>Experience building and optimising ‘big data’ data pipelines, architectures, and data sets</p>\n<p>Strong analytic skills related to working with unstructured datasets</p>\n<p>The ability to design and implement well written code</p>\n<p>Ability to work to tight deadlines</p>\n<p>Ability to test the data from source to the presentation layer</p>\n<p>Ability to support/troubleshoot data pipelines</p>\n<p>Confident and concise communication skills, with the ability to drive alignment, collaboration, and efficiency within teams</p>",
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