Job Description
Senior Recruitment Consultant at Talent International
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The Opportunity Our client is a community focused Federal Government Agency, seeking a SAS Data Engineer to assist with updating data development documentation and hands‐on development with their data platform. This will be a 12‐month initial contract with a further 12‐month extension possible, offering open‐market hourly rates. This is a hybrid role offering robust WFH options, with an office location in Richmond or Geelong.
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Responsibilities
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Provide technical leadership to the project delivery team through design reviews, advising on implementation best practices, defining and refining release process and technical workshops.
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Review and refine the data delivery framework to enhance integration of new sources, performance of existing data delivery and rapid development of new subject areas.
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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).
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Facilitate continuous improvement measures in delivery principles, coding standards, documentation and provide training sessions to team.
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Provide knowledge transfer sessions and peer review on best practices on development, data modelling, release process etc.
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Prioritise work items and add them to a work queue.
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Understand, analyse and size user requirements.
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Development and maintenance of SQL analytical and ETL code.
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Development and maintenance of system documentation.
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Collaboration with data consumers, database development, testers and IT support teams.
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Qualifications
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Australian Citizenship is mandatory to be eligible to work for this Federal Government Agency.
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Demonstrated competency in developing, auditing and reviewing code in 3 out of the 5 Data Warehouses listed - MS SQL, Teradata, Snowflake, Redshift, Databricks.
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High level of competency in programming, including knowledge of supplementary programming languages such as Python, SAS, R or Java, including building ETL pipelines using these languages.
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Strong expertise with SQL, including experience with reverse‐engineering end user SQL code and using SQL ETL frameworks like DBT or SQLMesh.
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Develop and customise SAS Visual Investigator data models, workflows, entities and rules to support investigative case management.
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Ability to understand DevOps process and can use DevOps tools in accordance with the process.
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Ability to demonstrate knowledge of version controls and its appropriate uses.
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Monitor and troubleshoot system health, logs and performance using SAS tools.
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Exposure to AWS Cloud, AWS S3, AWS Glue or similar tools within the cloud environment.
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Competency with required systems, software and programs, including SAS and Excel, and demonstrated experience data modelling using metadata / model‐driven frameworks.
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Tertiary qualifications in mathematics, statistics, computer science discipline or more than three years relevant work experience.
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Desirable Criteria
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Experience with monitoring and troubleshooting system health, logs and performance using SAS tools.
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Exposure to AWS Cloud, AWS S3, AWS Glue or similar tools within the cloud environment.
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Competency with required systems, software and programs, including SAS and Excel, and demonstrated experience data modelling using metadata / model‐driven frameworks.
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Tertiary qualifications in mathematics, statistics, computer science discipline or more than three years relevant work experience.
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Seniority level
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Mid‐Senior level
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Employment type
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Contract
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Job function
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Information Technology
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Industries
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Business Intelligence Platforms
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Apply
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Submit your resume, or for further information please contact
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for more information.
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📌 Sas Data Engineer (Victoria)
🏢 Talent
📍 Victoria