Data Engineering Lead

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.

Role Overview  

As a Data Engineering Lead, you will be responsible for overseeing and guiding the data engineering team in developing, optimizing, and maintaining our data infrastructure. You will play a critical role in ensuring the seamless integration and flow of data across the organization, enabling data-driven decision-making and analytics.  

Key Responsibilities  

• Data Integration: Coordinate with various teams to ensure seamless data integration across the organization's systems.  

• ETL Processes: Develop and implement efficient data transformation and ETL (Extract, Transform, Load) processes.  

• Performance Optimization: Optimize data flow and system performance for enhanced functionality and efficiency.  

• Data Security: Ensure adherence to data security protocols and compliance standards to protect sensitive information.  

• Infrastructure Management: Oversee the development and maintenance of the data infrastructure, ensuring scalability and reliability.  

• Collaboration: Work closely with data scientists, analysts, and other stakeholders to support data-driven initiatives.  

• Innovation: Stay updated with the latest trends and technologies in data engineering and implement best practices.  

Qualifications  

• Experience: Proven experience in data engineering, with a strong background in leading and managing teams.  

• Technical Skills: Proficiency in programming languages such as Python, Java, and SQL, along with experience in big data technologies like Hadoop, Spark, and Kafka.  

• Data Management: In-depth understanding of data warehousing, data modeling, and database management systems.  

• Analytical Skills: Strong analytical and problem-solving skills with the ability to handle complex data challenges.  

• Communication: Excellent communication and interpersonal skills, capable of working effectively with cross-functional teams.  

• Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.  

Why Join Us?  

• Work on cutting-edge data projects and contribute to the organization's data strategy.  

• Collaborative and innovative work environment that values creativity and continuous learning.  

If you are a strategic thinker with a passion for data engineering and leadership, we would love to hear from you. Apply now to join our team and make a significant impact on our data-driven journey.  

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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.