infrastructure
Posted May 5Data Platform Engineer
at ResMed
Dublin, IrelandOn-site
Responsibilities
- Develop and support analytics and data models in Snowflake using dbt or similar transformation frameworks.
- Implement basic testing, monitoring, and alerting to help ensure data quality, reliability, and operational health of the platform.
- Collaborate with analytics engineers, data scientists, and product teams to understand data
- Support platform foundations for analytics, reporting, and early-stage ML/AI use cases.
Requirements
- This is an individual contributor role for an engineer who enjoys working hands-on with data pipelines, analytics models, and cloud-based data platforms.
- If you’re excited about learning, growing your technical depth, and contributing to data systems that operate at global scale, this role offers the opportunity to make a meaningful impact while developing your career in data platform engineering.
- You will: Build, maintain, and enhance data platform components and pipelines for ingestion, transformation, and delivery using Python, SQL, and cloud-based tools.
- What You Bring (Must-Have) Bachelor’s degree in a STEM field or equivalent practical experience. Hands-on
- experience as a data engineer, data platform engineer, analytics engineer, or software engineer working with data systems (typically 3–6 years). Working proficiency in SQL and
- experience building or maintaining data models in a modern analytics platform (Snowflake preferred).
- Experience developing data pipelines using Python and cloud-based services. Familiarity with dbt or similar data transformation frameworks. Hands-on
- experience building and operating data systems on AWS, with working knowledge of cloud-native architectures and
- experience using services such as S3, IAM, EC2/ECS/EKS, Lambda, Glue, EMR, or similar AWS data and compute services.
- Experience using Git/GitHub for version control and collaborative development. Understanding of core software engineering practices, including code reviews, testing, and debugging. Nice-to-Have
- Experience with workflow orchestration tools such as Dagster, Airflow, or similar.
- Exposure to streaming or event-driven data systems (Kafka, Kinesis, or similar).
- Familiarity with CI/CD pipelines (GitHub Actions or similar).