Software Developers / Engineers – Enterprise Bl and Big Data Analytics

Advertiser: Servian

This ad is now closed and is an example of a job including maths skills. 

We’re seeking software engineers with a passion for data and analytics.
You will have a background in software development (Java, C#, C++, Python, SQL) or skills in analytics and statistical packages such as SAS, R and SPSS. The projects will see you working on building data-related software products as well as business intelligence dashboards, customer insight systems and other data centric systems.

In return the company offers:

  • Hand-picked highly technical team with a genuine passion for Software development, Data/BI and IM products
  • Melbourne CBD Location
  • Free Life and Salary insurance
  • Generous bonus structure
  • KPI’s based on self-development and training others in the company
  • Hackathons and company wide incentives
  • Large client base – Banks, Telco, Utils, Insurance
  • Management team are technically hands-on and highly accessible

Role:

  • Strong software development skills, conceptual data as well as excellent SQL skills
  • Expertise in Java/Python/R/JavaScript would also be desirable
  • Mid, Senior and Principal consulting level roles available
  • Strong consulting capability with good communication, presentation and business analysis skills
  • The ability to work well with people across both the business and technology.
  • Previous experience in a consulting or client-facing role useful.

MUST HAVE COMMERCIAL EXPERIENCE – MINIMUM 12 MONTHS
Honours degrees, particularly in Sciences, Mathematics, Engineering, Machine Learning, or Artificial Intelligence would be highly desirable
First class honours degree in any related subject would be a huge bonus

Skills that are required and cross-trained on:

  • Software Development – Java, Python, JavaScript, R
  • Data Platforms – Hadoop, SQL Server, Oracle, Netezza, Teradata, MapR
  • Bl Development – Tableau, Qlikview, OBIEE
  • Also Customer insights, Analytics, Big Data/Data Science

 

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