Data Engineer-Azure
3 weeks ago
Job Description for Data Engineer-Azure in Melbourne.
Build and develop 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.
Provide 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 with 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 communication skills to drive delivery.
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