5929
Analytics
Azure Data Engineer
Country: Australia
Cities: Adelaide, Melbourne
Job description
As a Data Engineering Consultant at Avanade, you will use comprehensive modern data engineering techniques and methods to support business decisions for Avanade clients. You can collect, aggregate, and analyse structured and unstructured data from multiple internal and external sources and patterns, insights, and trends to decision-makers. Your goal is to support the use of data-driven insights to help our clients achieve business outcomes and objectives. In this role, you will collect, aggregate, store, and reconcile data in support of a client business decisions. You will help design and build data pipelines, data streams, reporting tools, information dashboards, data service APIs, data generators and other end-user information portals and insight tools. You will be a critical part of the data supply chain, ensuring that stakeholders can access and manipulate data for routine and ad hoc analysis to drive business outcomes using Advanced Analytics.
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Additional details

Day-to-day, you will:

  • Translate business requirements to technical solutions leveraging strong business acumen.
  • Analyse current business practices, processes and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data & AI services.
  • Support the planning and implementation of data design services, providing sizing and configuration assistance and performing needs assessments.
  • Deliver end-to-end data architectures for transformations and modernisations of enterprise data solutions using Azure cloud data technologies.
  • Design and build modern data pipelines and data streams.
  • Design and build data service APIs.
  • Develop and maintain data warehouse schematics, layouts, architectures and relational/non-relational databases for data access, Advanced Analytics and AI.
  • Expose data to end users using Power BI, Azure API Apps or any other modern visualisation platform or experience.
  • Implement effective metrics and monitoring processes.
  • Travel as needed.

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