Lead AWS Data Engineer
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Summary
A lead data engineering role in Sydney focused on building and delivering data pipelines on a large-scale enterprise AWS data platform, working with services such as S3, Glue, Redshift, Athena, EMR and dbt. Requires 8-10 years of data engineering experience, advanced SQL, and hands-on Teradata and Siebel CRM experience.
- 8 to 10 years’ experience as a Data Engineer
- Advanced SQL skills
- Hands on experience working with Teradata and Siebel CRM data sets
- Experience delivering data pipelines in a large-scale enterprise data platform environment
- Strong hands-on AWS experience with common data services such as : Amazon S3, AWS Glue, Amazon Redshift, Amazon Athena, Amazon EMR and dbt