This position is no longer available
Melbourne, Victoria, Australia Hybrid

InfoCentric was looking for a Data Engineer

InfoCentric is looking for a passionate Data Engineer to join our team. This is a full-time, permanent position based in Melbourne with a hybrid work setup.

What You'll Do

  • Build and maintain ETL processes and data warehousing solutions
  • Design and develop Snowflake data warehouse solutions

What We're Looking For

  • A solid background in Data Engineering
  • Experience in building and maintaining ETL processes and data warehousing solutions
  • Proven experience in Snowflake data warehouse design and development
  • Hands-on experience with Azure cloud services
  • Proficiency in Python and SQL
  • Excellent communication and stakeholder engagement skills

Nice to Have

  • Experience with DBT (Data Build Tool)
  • Prior experience in a consulting or client-facing environment

Technical Stack

  • Snowflake
  • Azure
  • Python
  • SQL
  • DBT

Benefits & Compensation

  • Covered cost of training and certifications in latest tools and technologies, including AWS, Azure, Snowflake, and AI
  • Work with industry leaders and gain experience in complex Data Platforms and AI projects from the start
  • Gain mentorship and collaboration from industry leaders
  • Receive genuine recognition for your work and valued behaviour
  • Regular social events to connect
  • Work flexibly to balance family, life, and career

Work Mode

This role offers a hybrid work setup and is based in our Melbourne office.

InfoCentric is an equal opportunity employer committed to our values: Realise Opportunity, Thrive Together & Embrace Diversity, Think Big Picture, and recognising that Employees are the heart of our business.

Required Skills
Microsoft AzurePythonSQLETLData WarehousingData EngineeringCloud Services
About company
InfoCentric
An Australian-owned specialist Data Consultancy focused on delivering data strategy, cloud platforms, analytics, and AI solutions to large organizations.
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Job Details
Department Data and Analytics
Category data
Posted 4 months ago