Job Description

Job Header

Senior Consultant - Big Data

Advertiser: Deloitte Australia3.4 out of 53.4 overall rating (163 employee reviews) More jobs from this company

Job Information

Job Listing Date
11 Jun 2019
Location
Perth, CBD, Inner & Western Suburbs
Work Type
Full Time
Classification
Consulting & Strategy, Analysts

Senior Consultant - Big Data

  • Salary packaging - to suit your personal and financial circumstances
  • Technology discounts - from Apple, HP, Lenovo, to Windows
  • Flexible work arrangements - work in a way that suits you best

Do you want to work for one of the fastest growing data teams in Australia? Do you want to work on multiple data platforms and provide new solution offerings by leveraging cloud and big data technologies?

Why Deloitte?

At Deloitte, we create positively differentiated work experiences that enable our people to feel valued and achieve their full potential. We value difference, and embrace people with diverse backgrounds and thinking styles. Knowing that people work best in different ways, we are happy to discuss alternative arrangements if the working pattern you are looking for is not specifically indicated.

About the team


Big data, information and analytics. Three words that spark apprehension in most businesses. But our team of experts are constantly curious and excited about combining our wonderful array of technological expertise to transform data into our clients’ most valuable assets, making their work smarter. Our data consultants are supported with resources, training and tools they need to excel at their work, but also the freedom and power to create their own paths forward to make a difference.

As a Senior Consultant - Big Data, you will work closely with the team and stakeholders to build and deliver a Cloud based vision for a next generation Big Data analytics platform. You will have a focus on data quality, data security and deliver the systems that process huge volumes of data.

What will you typical day look like?

You will play a pivotal role in - Designing and producing high performing and stable applications to perform complex processing of massive volumes of data in a new cloud based architecture; Building real-time data processing applications which are integrated with business systems to enable value from analytic models to drive rapid decision making; Designing data structures (including data storage, data ingestion, analytics layers, data output/input files) on a variety of technological solutions (e.g. RDBMS, Big Data, columnar, NoSQL or graph databases); Developing a component of a data solution; this could be a data mapping, a database, a migration/ingestion prototype or a solution roadmap ; Contributing to system architecture design for a data platform (including cloud-based structures both on and off premises, data warehouse components and data lakes); this could cover a range of technologies, various countries/locations and lines of business; Support data strategy or technology strategy definition programs, including technology stack definition and target operating model requirements

Enough about us, let’s talk about you:

You are someone with:

  • Working in large scale cloud data solutions using platforms such as AWS or Azure
  • Experience in building modern data engineering pipelines using best of breed tools (e.g., Dell Boomi, Mulesoft, Talend, Matillion etc.) or native data integration tools in Azure or AWS platforms (E.g., Azure Data Factory, Logic Apps, AWS Glue etc.) or big data technologies (e.g. Spark, Hive etc.)
  • Experience in building and implementing big data platforms using industry best practice tools, technologies and methods (e.g., Databricks, Snowflake, AWS EMR, Azure DW, Redshift)
  • Use of ‘traditional’ data analytics tools and techniques (e.g. MSSQL, Oracle, MySQL) and ETL software (e.g. SSIS, Data Stage)
  • Experience in visualisation tools such as Power BI, Tableau.
  • Experience in scripting or programming (e.g. Python, Java, Scala, C#)
  • Excellent verbal and written communication skills to adapt to technical and non-technical audiences.
  • Educated to degree level (or have equivalent experience)

Next Steps


Sound exactly like the sort of role for you? Apply now!

If you’ve got any questions or wish to have a confidential conversation about this role, contact Aditi Aggarwal from the Talent Acquisition team. We’d love to hear from you.

  • Salary packaging - to suit your personal and financial circumstances
  • Technology discounts - from Apple, HP, Lenovo, to Windows
  • Flexible work arrangements - work in a way that suits you best

Do you want to work for one of the fastest growing data teams in Australia? Do you want to work on multiple data platforms and provide new solution offerings by leveraging cloud and big data technologies?

Why Deloitte?

At Deloitte, we create positively differentiated work experiences that enable our people to feel valued and achieve their full potential. We value difference, and embrace people with diverse backgrounds and thinking styles. Knowing that people work best in different ways, we are happy to discuss alternative arrangements if the working pattern you are looking for is not specifically indicated.

About the team


Big data, information and analytics. Three words that spark apprehension in most businesses. But our team of experts are constantly curious and excited about combining our wonderful array of technological expertise to transform data into our clients’ most valuable assets, making their work smarter. Our data consultants are supported with resources, training and tools they need to excel at their work, but also the freedom and power to create their own paths forward to make a difference.

As a Senior Consultant - Big Data, you will work closely with the team and stakeholders to build and deliver a Cloud based vision for a next generation Big Data analytics platform. You will have a focus on data quality, data security and deliver the systems that process huge volumes of data.

What will you typical day look like?

You will play a pivotal role in - Designing and producing high performing and stable applications to perform complex processing of massive volumes of data in a new cloud based architecture; Building real-time data processing applications which are integrated with business systems to enable value from analytic models to drive rapid decision making; Designing data structures (including data storage, data ingestion, analytics layers, data output/input files) on a variety of technological solutions (e.g. RDBMS, Big Data, columnar, NoSQL or graph databases); Developing a component of a data solution; this could be a data mapping, a database, a migration/ingestion prototype or a solution roadmap ; Contributing to system architecture design for a data platform (including cloud-based structures both on and off premises, data warehouse components and data lakes); this could cover a range of technologies, various countries/locations and lines of business; Support data strategy or technology strategy definition programs, including technology stack definition and target operating model requirements

Enough about us, let’s talk about you:

You are someone with:

  • Working in large scale cloud data solutions using platforms such as AWS or Azure
  • Experience in building modern data engineering pipelines using best of breed tools (e.g., Dell Boomi, Mulesoft, Talend, Matillion etc.) or native data integration tools in Azure or AWS platforms (E.g., Azure Data Factory, Logic Apps, AWS Glue etc.) or big data technologies (e.g. Spark, Hive etc.)
  • Experience in building and implementing big data platforms using industry best practice tools, technologies and methods (e.g., Databricks, Snowflake, AWS EMR, Azure DW, Redshift)
  • Use of ‘traditional’ data analytics tools and techniques (e.g. MSSQL, Oracle, MySQL) and ETL software (e.g. SSIS, Data Stage)
  • Experience in visualisation tools such as Power BI, Tableau.
  • Experience in scripting or programming (e.g. Python, Java, Scala, C#)
  • Excellent verbal and written communication skills to adapt to technical and non-technical audiences.
  • Educated to degree level (or have equivalent experience)

Next Steps


Sound exactly like the sort of role for you? Apply now!

If you’ve got any questions or wish to have a confidential conversation about this role, contact Aditi Aggarwal from the Talent Acquisition team. We’d love to hear from you.

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