Data Engineer (AWS / SQL)

This is a fantastic opportunity for someone to drive their career forward in the field of data analytics and engineering.

In essence what is required here is a candidate who is able to assemble large and complex data sets, who can automate manual processes and optimize data delivery, and build an infrastructure required for optimal data extraction, transformation and loading.

Technology wise you will ideally come with expertise in SQL, NoSQL, AWS, Hadoop, Spark, Python and/or R.

From a data visualization space, tools such as PowerBI or Alteryx would be highly beneficial.

Skill set / Experience required -

• Advanced working SQL knowledge


• Experience with AWS big data technologies


• Experience building and optimizing 'big data' data pipelines


• Performing root cause analysis and on internal and external data


• Building processes supporting data transformation and structures


• Working directly with stakeholders to interpret data and visualization needs


• Experience with any other following would be highly desirable;


• Big data tools - Hadoop, Spark, Kafta


• SQL and NoSQL Databases


• AWS Cloud Services - EC2, EMR, RDS, Redshift


• Stream-processing systems - Storm, Spark-streaming


• Scripting languages - Python, Java, R


• Data visualization - PowerBI, Alteryx


• BI Stack - SSAS, SSRS, SSIS

Dependent on your experience the role will pay up to $130,000 package.

Apply Today

Please send your resume by clicking on the apply button. Your application will be assessed within 3 working days. Please note only shortlisted candidates will be contacted.

Learn more about our Sydney recruitment services https://www.roberthalf.com.au/sydney