Data Engineering Leader for Cloud Data Platforms
1 week ago
About this role
The Senior Data Engineer will lead the development of data solutions to enable effective and efficient value realisation from EnergyAustralia's data. This role is responsible for designing, building, and deploying data pipelines in the AWS analytics ecosystem.
This position requires strong experience in building data engineering pipelines and exposure to cloud data platforms. The ideal candidate will have expertise in tools such as Databricks, S3, EMR/EC2, Lambda, Redshift, and Apache Airflow.
We are looking for a highly skilled individual who can lead our data engineering team and contribute to the success of our business.
Key Responsibilities:
- Leverage industry patterns for ETL/data import and interfacing mechanisms.
- Support and develop data products and platform.
- Formulate data solution designs and architecture.
- Mentor junior developers.
- Leverage DevSecOps principles using CI/CD workflows.
Requirements:
- Tertiary qualification in computer science or related field.
- Extensive experience in building data engineering pipelines.
- Expertise in cloud data platforms including AWS.
- Hands-on experience with Databricks, S3, EMR/EC2, Lambda, Redshift, and Apache Airflow.
- Big data and query language skills including SQL, Java, Python, R, PySpark.
Benefits:
- Annual Performance Bonus
- Discounts on Gas & Electricity
- Hybrid working environment
- Energise Program
- State-of-the-art Melbourne office
- Inhouse Café and Onsite Tech Bar
We offer a competitive salary of $180,000 - $220,000 per annum, depending on experience.
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