Data Solutions Engineer

5 days ago

Canberra, ACT, Australia Softtest Pays Full time

Job Summary:

Softtest Pays is seeking a highly skilled Data Solutions Engineer to join our team. As a Data Solutions Engineer, you will be responsible for defining data solutions using Azure Synapse Analytics and SQL Managed Instance, and working in the Data Platforms section to deliver these solutions.

Key Responsibilities:

  • Define data solutions using Azure Synapse Analytics and SQL Managed Instance
  • Work in the Data Platforms section to deliver these solutions
  • Assist in the migration of existing data processes (Microsoft SQL Server Integration Services) to the new platform (Azure Synapse Analytics)
  • Have the ability to understand Dev Ops processes and can use Dev Ops tools in accordance with the agreed processes
  • Develop and maintain relevant project and design documentation such as detailed designs, technical configuration documents, and build and support guides
  • Work within the Data Platforms section to consume and implement recommended practices to ensure compliance of data and information management standards
  • Be able to apply judgement and critical thinking skills to problem solve
  • Have demonstrated government sector experience, including working in small teams
  • Address each selection criteria

Requirements:

  • Proven experience with Microsoft stack technologies, specifically SQL Managed Instance, Azure Synapse Analytics, Azure Data Factory, Microsoft SQL Server Integration Services
  • High level of competency with SQL programming
  • Strong written and verbal communication skills
  • Experience in developing and maintaining relevant documentation such as detailed designs, technical configuration documents, and build and support guides

Desirable Criteria:

  • Tertiary qualifications in data analysis, data engineering or data management
  • Ability to build the technical capability and knowledge of other staff members
  • Experience with delivering solutions using a data warehouse platform and processes
  • Experience with cloud-based data platforms or an understanding of cloud concepts for data-related services

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