Nov 30, 2020

Technical Lead - Data Analytics - Azure / GCP

  • TheDriveGroup
  • Sydney NSW, Australia
Contractor Data Analytics

Job Description

Job description

 This is a long term contract role with a competitive day rate on offer for the right person.
We are working with one of the fastest-growing Big Data & Analytics teams in Australia and they are now looking for a Technical Lead to stand up a Data Analytics platform to support a team of analysts and scientists to do various data mining and analysis tasks for their customer personalisation initiatives. 
What you will be doing
  • Lead the build of their Data Engineering capability on Google Cloud Platform and Azure.
  • Provide guidance/mentorship of developers at all levels.
  • Review the technical landscape and gain an in-depth understanding of architecture, tech stack, deficiencies, technical debt, opportunities.
  • Make strategic recommendations for future development, including system robustness, performance improvements, servicing of technical debt, whilst balancing best practice solution design and incorporation of new product features.
  • Prepare technical solution designs for new technical functionality and system remediation, for both customer-facing (e-commerce) and on-demand logistics applications.
  • Ensure documentation of existing architecture, applications, and processes are in place and maintained.
Technical Skills
  • Python / Spark / PySpark
  • Scala/Java
  • Google Cloud Platform and related products
  • Azure platform and related products
  • NoSQL technologies
  • SQL
  • Data schemas and design
  • Modern software design practices
  • Modern development toolchains
  • CI/CD development/deployment practices
  • Secure coding best practices
  • Strong development testing knowledge
The ideal candidate will have great experience in building Data Engineering capability to power Data Science and Machine Learning initiatives, building CI/CD pipelines, strong with Azure first and then GCP, Technically familiar with Python/Spark/Scala, and be able to translate business aspirations to technical implementations.


Data Analyst