Data Engineer

All vacancies of New ZealandInformation & Communication TechnologyData Engineer

We need a savvy Data Engineer to join our growing team of analytics experts.

Summary about this job

Engineering - Software

Company: KPMG

Location: Wellington

Work type: Full Time

Salary: n\a

Phone: +64-6-731-7926

Fax: +64-9-324-2897

E-mail: n\a

Site:

Detail information about job Data Engineer. Terms and conditions vacancy

  • Are you the data guru we're looking for?
  • Do you have experience with big data tools like Hadoop, Spark, Kafka?
  • Support our team on data initiatives,ensuring optimal data delivery architecture

KPMG New Zealand is part of the international KPMG network and is passionate about providing the best audit, tax and advisory services to clients.  

KPMG Lighthouse provides specialised data and analytics talent and data-driven solutions that help our clients achieve rapid results. KPMG Lighthouse works with large data sets and leverages deep domain expertise in data engineering, data science, advanced visualisation, artificial intelligence and robotics to help us better serve our clients.

Be Interested:

  • We are looking for a Data Engineer join our growing team of data and analytics experts.
  • This role will provide support and guidance on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

Be Exceptional:

To be successful in this role, you'll need to be able to:

  • Apply scripting language for ETL (extract, transform, load) processes on structured and non-structured databases
  • Integrate data workflows from different sources using ETL processes
  • Create and maintain optimal data pipeline architecture
  • Focus on the design and build out of data models
  • Assemble large, complex data sets that meet functional / non-functional business requirements
  • Work with stakeholders throughout the organisation to identify opportunities for leveraging data to drive business solutions
  • Keep up with new trends in the industry and with the latest technologies for data manipulation

Be KPMG:

  • Qualification in Statistics, Mathematics, Computer Science, Software Engineering, Information Systems or another quantitative field
  • 3+ years hands on experience, in a consulting role preferred
  • Experience supporting and working with cross-functional teams in a dynamic environment
  • Experience with Cloud Platforms (e.g. AWS, Azure, and/or Google Cloud)
  • Familiarity with ‘big data’ frameworks and visualization tools (Hadoop, Spark, Kafka, Tableau)
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
  • Experience using statistical computer languages (R, Python, SAS, SQL, etc.) to manipulate data and draw insights from large data sets
  • Prior experience preparing data for analysis, building predictive models on large scale platforms, and helping to drive innovation into the modeling process/offerings
  • Excellent written and verbal communication skills, with proven ability to work with cross functional teams to translate business issues into potential analytics solutions

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