Description:
ACT NOW: Take advantage of this opportunity to join a growing FMCG Company in the Sydney CBD, working on a number of high-profile Data transformation projects. This Org has invested millions in all the latest and greatest technology & tools. They offer a significant opportunity for learning & growth. Enjoy a friendly company culture of innovation & empowerment in an Org that invests in YOU.We have a (Permanent) Senior AWS Data Engineer role available.
In this role you will expand and optimise the Data & Analytics platform.
You will drive the ingestion, transformation, and provisioning of data, empowering our Insights teams to extract actionable insights efficiently.
Your expertise will not only enhance current capabilities but also foster a culture of data-driven innovation, aligned closely with data governance practices.
Please Note : This role requires strong SQL and DBT Experience (Essential) . Deep Understanding of Data Warehousing Concepts is Essential. AWS Redshift experience is ideal.
Responsibilities
- Design, build, test, and deploy optimized, highly available, and reliable data pipelines and architectures using relevant tools.
- Drive business value creation by integrating new data platform toolsets into an innovation pipeline.
- Assemble large, complex structured and unstructured data sets that meet business requirements, ensuring security and governance.
- Update existing data models and metadata repositories for new use cases.
- Identify, design, and implement internal process improvements, including automation, data delivery optimization, and infrastructure scalability redesign.
Skills & Experience Required:
- Strong SQL and DBT Experience (Essential)
- 5-8 Years Data Engineering Experience
- Redshift Experience (Preferred)
- Deep understanding of Data/Warehousing Concepts
- Experience in AWS Services such as Athena, Redshift, and Glue (ideal)
- Experience with AWS architecture , technologies, and services and establish recommendations for new AWS services or solutions.
- Strong understanding of Data & Analytics concepts and technologies , including data warehousing, data lakes and ETL.
- Deep knowledge of Data Architecture, Data Modelling, Data Marts , and Metadata Management best practices.
- 5-8 years of experience in Modern Data Platforms (AWS, Azure, etc.) and Data Engineering, with strong Agile delivery skills and a degree in Computer Science, Data Science, IT, or a related field.
This is a great opportunity - To apply, please submit your CV via the portal by clicking the APPLY NOW button below.
You can also contact Charlie directly at: charlie@nbridge.com.au
Charlie Molino
0450 253 077
Northbridge IT Recruitment
For this and other opportunities please visit:
www.northbridgerecruitment.com/content/OpenVacancies
23 Mar 2025;
from:
uworkin.com