Data Engineer
vor 3 Monaten
About the Job Great Culture.
Amazing opportunities for learning, development and growth.
Multi-Cloud Solutions Provider.
Work with some of the best in the industry.
Fully remote work option.
ASAP start.
**** THIS ROLE CAN BE BASED ANYWHERE IN AUSTRALIA OR NEW ZEALAND **** About the Company: An Australian leading multi-cloud solution company with a mission to make technology real for their customers (MSP).
With offices across Australia and New Zealand, they are servicing over 700 enterprise customers.
A growing business with a focus on three technology areas: Cloud and Infrastructure, Cyber security and Software and Data Integration.
They support their customers at every step of their technology journey, from consult, to procure and build, to run, optimise and talent management.
An opportunity to work with cool tech and cool clients, you'll also find real recognition and flexible work that works for you.
Culture: Voted one of the Best Places to work in Australia.
Culture is a top priority.
About the Role: As part of the Apps & Data team, this role will provide an opportunity to work closely with other practice teams to convert customer needs into functional solutions.
As a Data Engineer, you will have the opportunity to mentor and collaborate with engineers and software developers internally and externally.
Responsibilities: Work with Practice Leads and Solutions Architects to translate data-related customer requirements to format a solution that meets customers' needs.
Work with stakeholders to translate a business dilemma into data-centric solutions that display the appropriate concerns required to meet functional, non-functional and commercial concerns (i.e.
reliability, scalability, maintainability, the cost to deliver etc.).
Decompose business problems into a set of testable hypotheses, identifying the likely data assets that would support this evaluation.
Interactively analyse and manipulate data using a variety of data analysis and data mining assets that would support this evaluation.
Maintaining and providing production support for corporate data warehousing applications.
Making recommendations for the collection of new data or the refinement of existing data sources and storage.
Create and maintain optimal data pipeline architectures.
Assemble large, complex data sets that meet functional & non-functional business requirements.
Skills & Experience: The ideal candidate will be highly motivated, solution-oriented, collaborative and approachable with a focus on best practice: 3-5 years' experience in Data and Analytics projects.
Experience supporting multiple customers across multiple platforms.
Experience working in an Agile environment.
Expert in SQL.
Data visualisation implementation using tools such as Tableau, PowerBI, HTML, Java and DSJ3.
Good understanding with public cloud (Azure/AWS) data workloads including, but not limited to: Amazon RedShift, Amazon EMR, Azure Synapse, AWS Glue, Azure Data Bricks, and Azure Data.
Experience with Machine learning and analytics workloads is preferred including but not limited to Azure ML Studio, Amazon SageMaker.
Demonstrated experience with regard to ownership of client projects and working from inception to delivery.
Good understanding of DataOps process-oriented methodologies is required to improve the quality and reduce the cycle time of data analytics.
What's in it for you?
Competitive Salary + Bonus.
Investment in your certifications.
Join a leading Multi-Cloud Solutions Provider.
AWS Premier Partner.
Work alongside some of the most brilliant minds in the Industry.
Personal and professional development.
Plus many more exciting benefits
If you feel you are a good fit for this opportunity, then please apply through Seek or please directly email me a copy of your Resume: ******
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