Open House on the 24th, - 12 mid day to 5 pm.

Database Engineer

Category: Product ID: 1100


About the job

ResMed has always applied the best of technology to improve people’s lives. Now our SaaS technology is fueling a new era in the healthcare industry, with dynamic systems that change the way people receive care in settings outside of the hospital–and tools that work every day to help people stay well, longer. We have one of the largest actionable datasets in the industry, creating a complete view of people as they move between care settings. This is how we empower providers–with vital insight to deliver the care people need, right when they need it.

We’re also ensuring that our health solutions connect to other companies’ networks. Because when objectives align, everyone wins. And as we work today to drive better care and lower costs, we’re developing more personalized solutions for tomorrow, utilizing machine learning, intelligent care paths, and predictive protocols. If you are an innovator who wants to make an impact we want to talk to you! We have exciting opportunities supporting Brightree by ResMed and MatrixCare by ResMed!

The primary role of the data engineering function is to design, implement and maintain Data warehouse strategies in Azure Synapse and Snowflake. Key deliverables include building data warehouse layers and providing usable information to data scientists and business analysts using data collected and transformed from various structured and unstructured data sources. Job activities include troubleshooting and support, data integrity checks and performance optimization.

Let’s talk about Responsibilities:

You will help to drive the business forward by:

  • Creating a detailed data map and developing an architectural model
  • Assembling large, complex data sets that meet business requirements
  • Leading the development of the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
  • Partnering with the technology, data acquisition and operations teams to ensure an integrated approach to data delivery, storage, and insight generation/delivery
  • Providing technical insights on emerging hybrid data architectures, advanced analytics, data privacy and security trends
  • Leading cross-functional teams in the development of Proof of Concepts for assessment of technology/business benefit

Let’s talk about Qualifications and Experience:

  • Advanced degree (Masters or equivalent) in Applied Math / Computer Science / Software Engineering/Statistics or related field
  • Minimum 5 years of experience working in a Data Engineer or equivalent role
  • Strong Python coding knowledge
  • Demonstrated proficiency with big data technologies and concepts
  • Experience with data pipeline and workflow management tools
  • Experience with designing and implementing Enterprise data warehouse
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Familiarity with a variety of data sets (structured, semi-structured, unstructured, etc.)
  • Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets
  • Strong analytic skills related to working with unstructured and structured data sets
  • Experience supporting and working with cross-functional teams in a dynamic environment
  • Strong problem-solving and communications skills
  • Healthcare experience preferred

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!