Data Engineer-Azure

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Overview Job Description for Data Engineer-Azure in Melbourne. Responsibilities Build and Build Cloud Native solutions which include integration with Synapse Analytics Understand and Build Monitoring of the Synapse Analytics Data Warehouse Understand the Performance of Synapse Analytics Data Warehouse Understand and implement Security improvements across Synapse Providing technical leadership for projects relating to data platform solutions Consult on and develop solution architecture built on Synapse Analytics Champion the transition from a monolithic batch-based data architecture towards a domain-centric and micro-services-based architecture. Develop, maintain and communicate high level plans for investing in the IT environment/infrastructure, for one or more complex portfolio/domains to ensure effective architecture strategy is developed and maintained Hands on experience of managing Azure Synapse Analytics Data Warehouse and Azure cloud native solutions (5+ years) Good Knowledge and experience of information management and governance capabilities such as master, reference and metadata management, data lineage and data quality Good exposure or hands on experience Data Ops (DevOps) on native cloud data platform (PaaS services) Hands on experience in Big Data/data lake and Data Warehouse implementations (e.g. Teradata, Cloudera, Azure ADF/Synapse, Databricks) Hands on experience of establishing an End to End capability including upgrades Excellent communications skills to drive deliver Qualifications Hands on experience of managing Azure Synapse Analytics Data Warehouse and Azure cloud native solutions (5+ years) Good Knowledge and experience of information management and governance capabilities such as master, reference and metadata management, data lineage and data quality Good exposure or hands on experience Data Ops (DevOps) on native cloud data platform (PaaS services) Hands on experience in Big Data/data lake and Data Warehouse implementations (e.g. Teradata, Cloudera, Azure ADF/Synapse, Databricks) Hands on experience of establishing an End to End capability including upgrades Excellent communications skills to drive deliver #J-18808-Ljbffr

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