Data Platform Engineer
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.
We're looking for a hands‐on Data Platform Engineer who thrives on turning messy, complex data into trusted, production‐grade pipelines and platforms. You'll work across the full stack of data engineering, writing code, crafting SQL, building pipelines, automating releases, and ensuring everything runs reliably in AWS. You'll own what you build and help make data easier, faster, and safer for teams to use.
What You'll Do
* Build, optimise, and operate reliable data pipelines and core platform capabilities
* Develop high‐quality Python & SQL solutions for ingestion, transformation, and validation
* Enable safe, repeatable releases through CI\/CD automation and strong engineering practices
* Collaborate through Git‐based workflows (PRs, reviews, shared standards)
* Improve reliability with monitoring, alerting, and observability fundamentals
* Partner with stakeholders to deliver scalable, high‐impact data solutions
What You'll Bring
* Python & SQL for data pipeline development
* Snowflake or similar large‐scale analytical platforms
* dbt or similar data transformation tools
* CI\/CD tooling – GitHub Actions, Jenkins, or similar
* Infrastructure‐as‐code – Terraform, AWS CloudFormation
* Docker, with some exposure to Kubernetes or ECS
* AWS services – DMS, S3, Lambda, IAM, CloudWatch
* Git/GitHub – pull requests, code reviews, collaborative workflows
* Monitoring & observability fundamentals
Good to Have
* Workflow orchestration – Dagster or Airflow
* Streaming / event‐driven systems – Kafka or Kinesis
* Secrets management & cloud security best practices – AWS Secrets Manager, IAM least‐privilege
* Log aggregation & observability platforms (Datadog or Grafana)
* ML/AI workflow support or feature pipeline experience
* Experience in healthcare, regulated, or large‐scale enterprise environments
ResMed is an equal‐opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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