- Initial 6 Month contract + Expected Extensions
- Sydney Based Role flexibility to WFH
- Lead Role in a newly formed Squad
The Role
Our client an industry leading organisation within Financial service are seeking an experienced Lead Data Engineer to lead a small team of engineers in a newly formed squad on a data Platform Rebuild Project
The Successful candidate will have a strong background in Data Engineering with Hands on experience building data pipelines
To be eligible for this opportunity, you must be an Australian permanent resident or citizen as my client does not sponsor visas.
Key Responsibilities
- Responsible for building and deploying high volume/complexity Spark SQL data pipelines into a production environment
- Review of data pipelines In line with standards and guidelines
- Responsible for leading data engineers on a project, including the review of data pipelines, ensuring alignment to objectives (expected results), coding and performance
- standards and support considerations.
- Responsible for defining coding and performance standards
- Responsible for providing estimates for the development of data pipelines of varying complexity and suitable for multiple levels of coding proficiency
- Responsible for refining coding and performance standards aligned to the data strategy
Essential Experience
- 5 + years hands on experience in a data Engineer role
- Previous experience in a lead role
- Strong background in Hadoop and Big Data Platforms
- Experience using tools such as Teradata, sparkSQL Infamatica
- Hands on Engineering skills in areas such as python, java, writing code,
if interested in the role please select APPLY or Contact Lisa.miller@peoplebank.com.au Quoting reference 242899
