Posted On Sep 08

This job posting has expired

Sr. Consultant, Data Engineering


Location : Sydney NSW

Headquarters : Seattle, Washington, United States

Hiring Mode : Full Time

Hiring Role : Consultant

Experience : Senior Level

As a Sr. Consultant, Data Engineering at Avanade, you will use comprehensive modern data engineer techniques and methods with Advanced Analytics to support business decisions for Avanade clients. You’re a data designer who knows how to find, store, and present a range of information from different sources so that everyone can access what they need quickly and simply and use it effectively.
Key Role Responsibilities:
  • You design and set up projects that bring together information from a variety of sources, to enable analysis and decision-making.
  • You make sure that data is accessible and easy to use so that it can be used for routine and ad-hoc analysis.
  • Be able to analyze 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.
  • Travel as needed
Key Role Skill & Capability Requirements:
  • Strong experience as an Azure Technologies
  • Demonstrated experience of turning business use cases and requirements into technical solutions.
  • Strong Data Migration Experience is preferred
  • Experience in business processing mapping of data and analytics solutions.
  • Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flow.
  • The ability to apply such methods to solve business problems using one or more Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration.
  • Azure IoT, Azure HDInsight + Spark, Azure Cosmos DB, Azure Stream Analytics is a plus.
  • Knowledge of Python is a plus.
  • Experience preparing data for Data Science and Machine Learning.
  • Demonstrated experience preparing data and building data pipelines for AI Use Cases (text, voice, image, etc).
  • Big Data components such as Kafka, Spark SQL, Data frames, HIVE DB etc. and their implementation using Azure Data Bricks
  • Experience in migration from on-premises Spark environment to Azure using Azure Data bricks
  • Coding complex U-SQL, Spark (Scala or Python). T-SQL
  • Good Understanding of Modern Data Warehouse/Lambda Architecture, Data warehousing concepts
  • PowerShell scripting
  • Effort estimation in support of project delivery or pre-sales effort
  • Benefits of being an Avanade Employee
  • Additional 5 days personal Leave + Opportunity to purchase extra annual leave
  • Wellbeing & Gadget Allowance
  • Flexible working arrangements
  • Generous parental leave
  • Corporate private health insurance discounts
  • Up to 80 hours of training per year
  • Please APPLY only if you are an Australian Citizen or a Permanent Resident with full working rights.