Digital Health Technology team powers digital experiences and engagement to enhance the lives of millions of people every day through connected care. We build, deliver and manage a portfolio of data management platforms and mobile offerings in support of our core businesses. We thrive on simple and elegant architecture and agility. You’ll be immersed in a dynamic high-growth environment and empowered to excel, take informed risks, and drive ingenuity across the enterprise.
Let’s Talk About The Team
The primary role of Analytics Engineering function within the Global Data Platform, Global Technology Solutions team is to design and deliver new data products or improvements to existing data products. Works closely with customers, developers and other stakeholders to understand and define customer needs in these designs and continues to work with customer through release to production. Features are aligned to a timetable and areas of responsibility. Developers may solicit customers for feedback regarding product usability and desired future enhancements.
Let’s Talk About The Role
- Build large-scale data processing systems to serve the analytics needs of users across Resmed.
- Implement data pipeline integrations and solutions, incorporating highly scalable cloud computing and large scale data stores including data lakes, data warehouses, and data marts.
- Work closely with data architects to determine what data management systems are appropriate, and data scientists/analysts to determine which data are needed for analysis and provides required data analytics tools.
- Manage Github repositories including working with Github actions
- Manage infrastructure of team's analytics platform with tools such as Terraform
- Develop analytics models using SQL and dbt on the Snowflake data platform
- Develop data pipelines using Kafka and Flink
- Orchestrate data pipeline operations using Dagster and Python
- Frequently leads sub-functional teams or projects and train and mentor junior team members.
- Minimum of 5 years of experience with SQL on a large analytics data platform
- Minimum of 5 years of experience with developing software requirements, software coding, and software testing
- Minimum of 3 years of experience with Python, shared version control systems, and maintaining data pipelines
- Minimum of 2 years of experience with Github and using actions to deploy cloud applications
- Experience with dbt, Dagster, Snowflake data platform
- Experience with managing software integration and deployment on Github
- Bachelor’s degree.
- Minimum of 8 years of related experience.
This role is eligible to receive an annual cash bonus payment based on company, business unit, and/or individual performance.
Base Pay Range for this position:
$134,000 - $202,000
Joining us is more than saying “yes” to making the world a healthier place. It’s discovering a career that’s challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now! We commit to respond to every applicant.
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