Google Data Engineer

Company:
Location: Melbourne VIC

*** Mention DataYoshi when applying ***

Google Cloud Data Engineer

We are the Accenture Google Business Group, combining the best of Google human-centric design and innovation with Accenture intelligence.

The Accenture Google Business Group is part of our rapidly growing Cloud First team. Working together with Google, we help clients unlock the value of data, use advanced analytics to better connect with their customers and become more efficient, and modernise the way they do business to become more agile, natively digital and drive value creation.

As a member of the Google Business Group, you’ll be part of a team of professionals who deliver more than just technology. You’ll help clients solve real business problems, benefit society, and make good on the promise of technology, data and artificial intelligence.

As a Google Cloud Data Engineer in our team, you can expect to work on a variety of client engagements and Accenture & Google offerings including:

  • Large scale data platforms

  • Innovative analytics and AI solutions

  • Customer Call Centre AI (using Google Dialogflow)


Our team members enjoy an extensive range of training and certifications and we provide a whole-of-career growth opportunity along technical, consulting, commercial and leadership aspects.

Key Responsibilities

As a Google Cloud Data Engineer in our team, you will be responsible for building and delivering data and AI solutions that centre around Google specific cloud technologies and will collaborate with other team members to create end to end solutions. These responsibilities include some or all of the following:

  • Collect and analyse data requirements in support of analytics and other use cases

  • Creating data models according to technical and business requirements

  • Designing and implementing batch and streaming data pipelines to collect data from various sources and transform it according to technical and business requirements

  • Design and implement data remediation, migration and integration strategies and techniques

  • Design and build large scale data platforms using BigQuery, Cloud Dataflow, Cloud Storage and other Google Cloud technologies

  • Explore and implement AI/ML techniques using Google cloud technologies


Depending on your level of experience you will also:

  • Lead teams of consultants and clients to achieve high quality delivery goals on time and within budget

  • Participate in sales and pre-sales activities

  • Contribute to building the practice


Skills and Qualifications

  • Data modelling

  • Batch and stream data ingestion and transformation patterns

  • Google BigQuery, Cloud Storage, CloudSQL or similar technologies on AWS/Azure

  • Apache Beam, Google Cloud Dataflow or similar data processing technologies (e.g. Spark)

  • Strong relational database and SQL experience (DML and DDL)

  • Preferred – Jupyter/R basic skills

  • Preferred - experience leveraging AI/ML techniques and technologies such as:

  • BigQueryML

  • Tensorflow

  • Regression models

  • Classification models

  • Clustering

  • Neural networks


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*** Mention DataYoshi when applying ***

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