Avanade Inc. Senior Analyst - Data Engineering in Adelaide, Australia
As a Senior Analyst - Data Engineering, you will use comprehensive modern data engineer techniques and methods to support business decisions for Avanade clients. You can collect, aggregate, and analyze structured/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.
Key Role Responsibilities: * 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 & Analytics PaaS Services. * Support the planning and implementation of data design services, providing sizing and configuration assistance and performing need assessments. * Delivery of architectures for transformations and modernizations 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 and Advanced Analytics. * Expose data to end-users using PowerBI, Azure API Apps, or any other modern visualization platform or experience. * Implement effective metrics and monitoring processes.
Key Role Skill & Capability Requirements: * Demonstrated experience with SQL and PowerBI. * Strong understanding of Azure Data Services and other modern data platforms. * Knowledge of Azure Data Factory, Azure Data Lake, Azure SQL DW, and Azure SQL, Azure App Service is a bonus. * Ability to conduct data profiling, cataloguing, and mapping for technical design and construction of technical data flows. * Strong understanding of Data Warehouse, Data Management, and Data Architecture.
- Knowledge of Python is a plus.
- Experience with Data Science, Machine Learning, and Artificial Intelligence.
- Demonstrated experience preparing data and building data pipelines for AI Use Cases (text, voice, image, etc.,).
- Experience in preparing data for use in Azure Machine Learning and/or Azure Databricks is a plus.
- Designing and building Data Pipelines using streams of IoT data.
- Knowledge of Master Data Management (MDM) and Data Quality tools and processes
- Strong team collaboration and experience working with remote teams.
- Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code fundamentals.
- Working experience with Visual Studio, PowerShell Scripting, and ARM templates.
AUSTRALIAN CITIZENSHIP is required for this role.
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