Data Engineer

Resmed • San Diego, CA

5d • Remote

About The Position

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.

Requirements

• Bachelor’s degree or equivalent in Computer Science, Computer Engineering or related field of study and 5 years of progressive experience in Data Engineering.
• Master’s degree or equivalent in Computer Science, Computer Engineering or related field of study and 1 year of experience in Data Engineering.
• 3 years (1 year with a Master’s degree) of experience working on Enterprise Systems; data architecture; working with structured and semi-structured data architectures; SQL, working with relational databases, query authoring (SQL) and working with a variety of databases; manipulating, processing and extracting value from large (petabyte size), disconnected datasets; developing scalable ETLs and data processes; Snowflake; Oracle EBS databases; Spark, Scala, Kafka, Elasticsearch and Python; AWS cloud services, including S3, DMS, EC2, RDS, Lambda, IAM, SQS and SNS; Terraform, Airflow and Job Scheduler; and shell scripts.

Responsibilities

• Define, model, validate and provide accessibility of data for stakeholders in the Americas, Asia Pacific and EU.
• Share ownership of data platform, from ingress through transformation and access/integration in these regions.
• Work with various teams to define and document data architecture across integrated Enterprise Systems.
• Design and document data model that supports Enterprise Systems and Analytics.
• Assemble large, complex data that meet functional and non-functional business requirements.
• Use infrastructure and services required for optimal extraction, transformation, and loading of data from variety of data sources using SQL and AWS services.
• Contribute to documentation and maintenance of data catalogue.
• Design, implement and maintain data pipeline integrations and solutions, incorporating highly scalable cloud computing and large-scale data stores including data lakes, data warehouses, and data marts.
• Work collaboratively with Test Engineers to ensure high standard of quality at all levels, ranging from operational efficiency of ETL to accuracy of data.
• Bring best-practice experience to proactively and continuously build data-related practices within team.
• Contribute to scalability of both data infrastructure and team processes, standards, and workflow.
• Work with stakeholders to assist with data related technical issues and support data requirement needs.

Benefits

• comprehensive medical, vision, dental, and life, AD&D, short-term and long-term disability insurance, sleep care management, Health Savings Account (HSA), Flexible Spending Account (FSA), commuter benefits, 401(k), Employee Stock Purchase Plan (ESPP), Employee Assistance Program (EAP), and tuition assistance.
• Employees accrue three weeks Paid Time Off (PTO) in their first year of employment, receive 11 paid holidays plus 3 floating days and are eligible for 14 weeks of primary caregiver or two weeks of secondary caregiver leave when welcoming new family members.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior