Data Engineers

Our client is a federal government organisation with offices throughout Australia. Due to growth, they are seeking multiple Data Engineers to join their team in their Richmond or Geelong office.

The EL1 Data Engineer role will be a senior member of a project stream of the client’s data warehouse platform. This includes updating data development documentation, hands-on data platform development, providing technical guidance to developers and reviewing/approving data designs and data models.

Duties

• Provide technical leadership to the project delivery team through design reviews, advising on implementation best practices, defining and refining release process and technical workshops.
• Review and refine the data delivery framework in order to enhance integration of new sources, performance of existing data delivery and rapid development of new subject areas.
• Own the technical implementation of new data from analysis to delivery (designing and delivering data dictionary, defining the release steps, defining best practices of data modelling and review steps).
• Facilitate continuous improvement measures in delivery principles, coding standards, documentation and provide training sessions to team.
• Provide knowledge transfer sessions and peer review on best practices on development, data modelling, release process etc.
• Prioritise work items and add them to a work queue.
• Understand, analyse and size user requirements.
• Development and maintenance of SQL analytical and ETL code.
• Development and maintenance of system documentation.
• Collaboration with data consumers, database development, testers and IT support teams
  
  

To apply for this opportunity, you will need as follows:

Essential Criteria

• MS SQL / Teradata /Snowflake / Redshift / Databricks – Demonstrated competency in developing, auditing and reviewing code in 2 out of the 5 Data Warehouses listed.
• High level of competency in Programming, including knowledge of supplementary programming languages such as Python, SAS, R or Java.
• Strong expertise with SQL, including experience with reverse-engineering end user SQL code.
• Ability to read and interpret data models and specifications.
• Ability to understand DevOps process and can use DevOps tools in accordance with the process.
• Ability to demonstrate knowledge of version controls and its appropriate uses.
  
  

Desirable Criteria

• Minimum of 4 years in a similar role
• Exposure to AWS Cloud, AWS S3, AWS Glue or similar tools within the cloud environment.
• Competency with required systems, software and programs, including SAS and Excel.
• Demonstrated experience data modelling using metadata/model driven frameworks.
• Tertiary qualifications in mathematics, statistics, computer sciences discipline or more than three years relevant work experience.
• Experience working in an Agile environment.
  
  

Please contact shelley.harrison@talentinternational.com // 0418 572 482 for further information. Successful applicants will be required to complete a formal Key Selection Response, and clear national police and federal background checks. Proof of Australian Citizenship is mandatory.