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.

As part of a data-driven organization, the primary role of the Senior Data Platform Engineer is to create and maintain dashboards and visualisations, participate in managing and optimising Snowflake databases, assisting in data platform operations and maintenance, collaborating with data engineers and analysts on data initiatives and ensuring data security, compliance, and governance.  

Let’s talk about Responsibilities 

Prepare visualisations and dashboards using Tableau and Power BI

Prepare data using SQL.

Assist in data platform operations, maintenance, and troubleshooting.

Collaborate with data engineers and analysts on data initiatives and projects.

Ensure data security, compliance, and governance in Snowflake databases.

Monitor and optimize database storage, compute resources, and query performance.

Develop and maintain database documentation, including data models and architectures.

Assist in data migration, integration, and ETL (Extract, Transform, Load) processes.

Troubleshoot and resolve database issues, including data inconsistencies and errors.

Implement data backup, recovery, and disaster recovery procedures.

Stay up-to-date with Snowflake features, best practices, and industry trends. 

 
Let’s talk about Qualifications and Experience 
 
Required: 

Minimum of 5 years of experience working on Enterprise Systems

Excellent knowledge in any BI tool 

Proficiency in data architecture 

Experience working with structured and semi-structured data architectures 

Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases 

Experience in manipulating, processing and extracting value from large disconnected datasets 

Expertise in developing scalable ETLs and data processes 

Proficiency in Snowflake 

Exposure to other database systems

Experience with AWS cloud services, including S3, DMS-Batch/CDC, EC2, Lambda, IAM, SQS, SNS etc.

Exposure to Terraform, Airflow and Job Schedular

Good understanding of shell scripts 

Preferred: 

Bachelor’s degree in Mathematics, Economics, Statistics, Biology, Computer Science, or other relevant field 

Good knowledge knowledge in Tableau or PowerBI 

Experience working with offshore teams

Exposure to Oracle or SQLServer DBA activities (Understand database security) 

Good understanding of Agile methodologies and ways of working.

Good understanding of tools such as JIRA and Confluence. 

Exposure to Hadoop Ecosystem preferably on AWS/EMR, NoSQL-based, SQL-like technologies  

Experience with Data Science tools & technologies on AWS Cloud 

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.