Aspirante

Senior Data Engineer

Job description

  • 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

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