Hybrid Senior Engineer,Data Engineering bei ResMed

Global Technology Solutions (GTS) at ResMed is a division dedicated to creating innovative, scalable, and secure platforms and services for patients, providers, and people across ResMed. The primary goal of GTS is to accelerate well-being and growth by transforming the core, enabling patient, people, and partner outcomes, and building future-ready operations.

The strategy of GTS focuses on aligning goals and promoting collaboration across all organizational areas. This includes fostering shared ownership, developing flexible platforms that can easily scale to meet global demands, and implementing global standards for key processes to ensure efficiency and consistency.

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 (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

• 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.

Let’s talk about you
 

• Bachelor’s degree in a STEM field.
• 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

Preferred:

• 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.

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.