Senior Data Engineer

• 5 month contract
• Upto $1080 p/day
• Queensland Government
  
  

Your role

You will play a critical role in understanding the data required for migration, cleansing, viewing and ultimately reporting. You will work closely with transactional systems business analysts to build logical/physical data models for the department’s business processes and manage common data model that satisfies requirements.

Key Responsibilities

• Support, maintain and operate a Microsoft Azure-based ETL framework
• Support multiple business data migration go-lives and post go-live data reconciliation activities
• Undertake data mapping against an ICT solution and identify the delivery of data sets to support Product delivery.
• Participate in data extract, transformation and migration activities
• Work with development teams and other skilled analysts to validate functionality against the data requirements
• Provide timely, strategic and expert advice regarding data requirements, information requirements, business impacts, scope management, and project risks
• Manage the delivery of work to a schedule and assist in the setting and managing of expectations
• Apply standardised templates, methodologies and processes for data analysis activities and related project documentation
• Contribute to business integration, change management, and testing
  
  

Essential requirements

• Data and ETL experience especially with Microsoft Azure Cloud Data Platform (Azure Data Factory, Azure Synapse, Azure Dataverse)
• Demonstrated ability to write complex SQL scripts, queries, and stored procedures to extract and mine data.
• Demonstrated experience in data ingestion, cleansing, manipulation and modelling
• Experience in eliciting, analysing, specifying, documenting and validating the business data needs of stakeholders.
• Data/reports development skills and experience relevant to the position
• Understanding and experience working with applications that utilise complex relational architecture
• Experience working within a large, complex multi-disciplinary organisation
• Proven ability to manage a large workload whilst maintaining high levels of accuracy
  
  

Apply Now!