Description:
This is a Consultant - Data & ML Engineer role with one of the leading companies in AU right now -- Deloitte -- with an amazing team. They are continuing to grow rapidly. This is the chance to join right as the takes off.
More About the Role at Deloitte
**What will your typical day look like?** Deloitte Data and AI is changing the way that businesses leverage cloud-native technology to solve the toughest Data, Machine Learning and AI challenges faced by our customers! Join us as we continue to expand into a cloud-centric and AI driven future, working on some of the largest and most complex projects within AU. **About the team** Our Data & AI team comprises of over 500 specialist practitioners across Australia, each of whom are constantly curious and excited about combining their business acumen and technological expertise to create data-centric solutions that help solve complex problems and transform or reinvent our client’s business. Our Data & AI team work with public and private sector clients helping them to design and implement world leading solutions and capabilities. From setting Data & AI strategy, building and scaling the platforms and tool to bring the strategy to life, through to accelerating our clients ability to develop and deploy GenAI models, we are the partner of choice for our clients and our alliance vendors. Our technology relationships with market leading vendors such as Amazon, Google, Databricks Snowflake, Salesforce, and more enable our practitioners to be at the forefront of new and emerging capabilities and to deliver our suite of services at scale. We are consistently recognised as leaders in Cloud, Data, Analytics and AI, including in the latest analyst reports. **Enough about us, let’s talk about you.** We are looking for Consultants that bring the following capabilities: - 1-3 years’ experience in Data and/or ML Engineering, with hands-on experience in either Python or SQ, dbt highly regarded - Advanced SQL and database skills - Strong grasp of Data fundamentals, preferably with experience with databases, data warehouses, data lakes or other storage solutions. - Experience with Data modelling will be highly regarded - Hands-on development experience in at least one of the major hyper scaler platforms - AWS, Google Cloud, Microsoft Azure, Databricks and Snowflake - Previous consulting or client-facing experience is highly regarded - Exceptional interpersonal and communication skills. - Comfort working in a flexible and dynamic environment. - Technical certifications will be highly regarded..
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