Senior Data Engineer

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.

Do not wait to apply after reading this description a high application volume is expected for this opportunity.

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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