EL 1 - DBA/Datawarehouse Systems Engineer

at  National Library of Australia

EL 1 - DBA/DATAWAREHOUSE SYSTEMS ENGINEER

• New role designed to advance and maintain the National Library’s Analytics Platform (LAP) project while also managing traditional DBA functions in this dynamic position.
• Utilise your expertise in database management systems and cloud technologies to support business needs and enhance data analytics capabilities.
• Opportunity to use your strong interpersonal skills to liaise and build positive relationships with internal and external stakeholders.
  As a world leading library, the National Library of Australia offers an innovative and collaborative workplace where exceptional team players and technical specialists can flourish. As part of the Library’s team, you will help support organisational reform, working collaboratively with your team to shape the Library’s future.
  The Library is seeking to fill an ongoing DBA/Datawarehouse Systems Engineer (EL 1) role in the Technology Operations Section of the Digital Branch.
  This is a critical role designed to support the development and management of the National Library’s Analytics Platform (LAP) project. The role requires a unique blend of skills in database administration and data warehouse system engineering, ensuring not only the stability and optimal performance of our database systems but also enhancing our business intelligence and data analytics framework.
  We are looking for people with a positive can-do attitude, are self-motivated and proactive, have an insatiable thirst for knowledge, have innovative problem-solving skills, and have an ability to remain calm and composed in times of stress and uncertainty.
  The ideal candidate will have good written and communication skills and the experience to communicate with stakeholders at all levels confidently.

To be successful in this role you must have:

• Expertise in managing Microsoft SQL Server clusters, Azure cloud services and resources including Azure Synapse Analytics, SQL databases and Power BI.
• Extensive experience in data warehousing, data modelling, and ETL processes.
• Proficiency in SQL for varied applications and environments.

• Expertise in managing Microsoft SQL Server clusters, Azure cloud services and resources including Azure Synapse Analytics, SQL databases and Power BI.
• Extensive experience in data warehousing, data modelling, and ETL processes.
• Proficiency in SQL for varied applications and environments