Lead Engineer

vor 5 Stunden

Sydney, Österreich ResMed Vollzeit

This is a Lead Engineer (Data Engineering) role with one of the leading companies in AU right now 🔥 -- ResMed -- with an amazing team. They are continuing to grow rapidly. This is the chance to join right as the 🚀 takes off.

More About the Role at ResMed 🧐🧐

Let’s Talk About the Team  The primary role of the Analytics Engineering function within the Global Data Platform, Global Technology Solutions team is to design and deliver new (or improved) data engineering solutions (data products) across the business. Data Engineers in this function work closely with stakeholders to understand and define customer needs, develop high-quality solutions, and monitor closely through the release cycle.  Let’s Talk About the Role  As a Lead Engineer, you will play a pivotal role in building large-scale data processing systems to serve the analytics needs of users across ResMed. Your responsibilities will include:  - Building large-scale data processing systems to serve the analytics needs of users across ResMed.  - Implementing data pipeline integrations and solutions, incorporating highly scalable cloud computing and large-scale data stores including data lakes, data warehouses, and data marts.  - Collaborating closely with data architects to determine appropriate data management systems and working with data scientists/analysts to identify necessary data for analysis.  - Managing GitHub repositories, including working with GitHub actions.  - Managing the infrastructure of the team's analytics platform using tools such as Terraform.  - Developing analytics models using SQL and dbt on the Snowflake data platform.  - Developing data pipelines using Kafka and Flink.  - Orchestrating data pipeline operations using Dagster and Python.  - Frequently leading sub-functional teams or projects and mentoring junior team members.    Let’s Talk About You  Minimum Requirements:  - Bachelor’s degree in a STEM field.  - Minimum of 10 years of experience with SQL on a large analytics data platform.  - Minimum of 10 years of experience with developing software requirements, software coding, and software testing.  - Minimum of 6 years of experience with Python, shared version control systems, and maintaining data pipelines.  - Minimum of 5 years of experience with GitHub and using actions to deploy cloud applications.  Preferred Qualifications:  - Experience with dbt, Dagster, and the Snowflake data platform.  - Experience with managing software integration and deployment on GitHub.  - Master’s degree in a STEM field.  - Minimum of 12 years of related experience. 

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