Azure Data Engineer

at  Novon

• Data Engineer
• Azure
• Synapse
  At Novon - Data is Beautiful. We are currently continuing to build our Data and Engineering practice and are expanding our team of Azure engineers and Analyst with a Data focus to join our team and support us in delivering projects that align with our focus areas of Data Advisory, Data Architecture, Data Governance, Data Science and Analytics, Data Migration and Data Integration
  Living our values of Be Innovative, Be Curious, Be Humble and Be Yourself, we are excited to be planning to expand our team with Data Engineers with Azure Synapse and Purview experience to our Novon community who will be working on a key project specifically designing, implementing, and actively working in a DevOps culture. This role’s core focus will be a core focus on modernising and uplifting our customer’s organisation to support future growth strategies through automation.

EXPERIENCE AND SKILLS

Deep understanding of Azure Data Environments.
Must have experience in Synapse.
Good to have experience in Purview.
Experience building and optimizing data pipelines and data sets.
Advanced SQL knowledge and experience working with a variety of databases.
Good understanding of Data / Analytics related Architecture.
Strong stakeholder skills and excellent communication skills
At NOVON we are an organization that values the whole consultant and invites you to bring your whole self to work. We reward our teams with not only exciting projects and a positive work environment but also provide great benefits like:
Paid parental leave.
Gifted leave up to an additional 20% on statutory requirements.
Formal coaching and mentoring
Career growth and further education/training
Anniversary Gifts
Paytime - “Flexibility over your pay”
To apply to this and other Novon roles either click the link below or check our www.novon.com.au/careers and start a conversation with our team

As a Data Engineer, you will be responsible for designing and implementing data ingestion pipelines from multiple sources using Azure (databricks, Synapse). Developing scalable and re-usable frameworks for ingesting of data sets Integrating the end-to-end data pipeline - to take data from source systems to target data repositories ensuring the quality and consistency of data is always maintained.
You will be understanding the business requirements and translating them into technical specifications for the team along with the manager of the team.