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Job Summary:
ResMed is a global leader in digital health, dedicated to creating innovative and scalable platforms for patients and providers. They are seeking a Data Engineer to define and manage data accessibility, design data architecture, and implement data pipeline integrations while collaborating with various teams to ensure high-quality data solutions.
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.
Qualifications:
Required:
• Bachelor’s degree or equivalent in Computer Science, Computer Engineering or related field of study
• 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 in lieu of a Bachelor’s degree or equivalent and 5 years of progressive experience
• 3 years (1 year with a Master’s degree) of experience working on Enterprise Systems
• Experience with data architecture; working with structured and semi-structured data architectures
• Experience with SQL, working with relational databases, query authoring (SQL) and working with a variety of databases
• Experience manipulating, processing and extracting value from large (petabyte size), disconnected datasets
• Experience developing scalable ETLs and data processes
• Experience with Snowflake
• Experience with Oracle EBS databases
• Experience with Spark, Scala, Kafka, Elasticsearch and Python
• Experience with AWS cloud services, including S3, DMS, EC2, RDS, Lambda, IAM, SQS and SNS
• Experience with Terraform, Airflow and Job Scheduler
• Experience with shell scripts
Company:
ResMed provides medical devices to treat and manage sleep apnea and pulmonary diseases. Founded in 1989, headquartered in Sydney, New South Wales, AUS, team size 5001-10000 employees, currently Late Stage. Resmed has a track record of offering H1B sponsorships.
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Industries
Software Development
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Inferred from the description for this job
Medical insurance
Vision insurance
401(k)
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