Company:
ResMed
Location: San Diego
Closing Date: 23/10/2024
Salary: £100 - £125 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description
Digital Health Technology team powers digital experiences and engagement to enhance the lives of millions of people every day through connected care. We build, deliver and manage a portfolio of data management platforms and mobile offerings in support of our core businesses. We thrive on simple and elegant architecture and agility. You’ll be immersed in a dynamic high-growth environment and empowered to excel, take informed risks, and drive ingenuity across the enterprise.
Responsibilities:
- Create, expand, optimize and maintain data and data pipeline architecture, as well as optimize data flow and collection for cross-functional teams.
- Support software developers, database architects, data analysts and data scientists on data initiatives to ensure optimal data delivery architecture is consistent throughout ongoing projects.
- Assemble large, complex data sets that meet functional and non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
- Build 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, and others.
- Work with stakeholders including Executive, Product, Data, and Design teams to assist with data-related technical issues and support data infrastructure needs.
- Work on data tools for analytics and data scientist team members.
Minimum Requirements
- Master's degree or equivalent in Computer Science, Statistics, Informatics, Information Systems or a related field and
- 6 years of experience in Data Engineering.
Applicants must have demonstrated experience with the following:
- 3 years of experience in a full-cycle data engineering role;
- Python coding;
- building and working with AWS Data Lakes;
- AWS Data Pipeline and CI/CD processes;
- big data tools: Hadoop, Spark, and Kafka;
- data pipeline and workflow management tools: Airflow, and AWS Step functions;
- AWS cloud services: EMR, RDS, and Redshift;
- stream-processing systems: Kinesis, and Spark-Streaming; structured, semi-structured and unstructured datasets;
- building and optimizing 'big data' data pipelines, architecture and data sets;
- performing root cause analysis on internal and external data and processes to answer business questions and identify opportunities for improvement;
- building processes supporting data transformation, data structures, metadata, dependency, and workload management;
- manipulating, processing, and extracting value from large disconnected datasets;
- message queuing, stream processing, and building highly scalable 'big data' data stores;
- supporting and working with cross-functional teams in software development.
Any and all experience can be gained concurrently.
Position offered by ResMed Digital Health Inc. - 100% remote position reporting to: San Diego, CA.
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