Senior Data Engineer

Job description

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!

(Sr) Data Engineer

Let’s talk about the team and you:

We are looking for a savvy Data Engineer to join our growing team of platform experts. You will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams.

You are an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The goal is to support our software developers, database architects, data analysts and data scientists on data initiatives to ensure optimal data delivery architecture is consistent throughout ongoing projects.

You are self-directed and comfortable supporting the needs of multiple teams, systems and products. You are excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Let’s talk about Responsibilities:

Your day to day focus will be dynamic and ever changing, but you and your team will be driving the business forward by:
  • Create and maintain optimal data pipeline architecture,
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python and AWS ‘big data’ technologies like Glue, Lambda, EMR etc.
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
  • Work on data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Work with data and analytics experts to strive for greater functionality in our data systems.

Let’s talk about Qualifications & Experience:

You will have 6+ years of total experience in a full cycle Data Engineer role, who has attained a graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field or equivalent working experience.

Your most substantial experience will be using the following software/tools:
  • Excellent Python coding knowledge
  • Must have previous experience creating/running Python or Pyspark jobs working within AWS Glue.
  • Experience building and working with AWS Data Lakes
  • Experience working on AWS Data Pipeline and CI/CD processes
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with data pipeline and workflow management tools: Luigi, Airflow, AWS Step etc.
  • Experience with AWS cloud services: EMR, RDS, Redshift
  • Experience with stream-processing systems: Kinesis, Spark-Streaming, etc
  • Experience with Docker Containers and Kubernetes
  • Experience with DBT \ Coalesce or other ELT tools.
  • Familiarity with a variety of datasets, structured, semi structured and unstructured etc.
  • Experience building and optimizing ‘big data’ data pipelines, architecture and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions identify opportunities for improvement.
  • Nice to have Experience with MS SQL Stack and SSIS
  • Independently design, breakdown and complete large scope projects.
  • Ability lead and mentor others in team projects.
  • Be comfortable in leading a project and being lead in a team.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
  • Experience supporting and working with cross-functional teams in a dynamic environment.

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!

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