$150K - $200K(Ladders Estimates)
Essential Duties & Responsibilities:
Drive design and development of internal data pipeline architecture to service BI and Analytics capabilities
Work with key stakeholders including Product, Sales, Quality Engineering and Marketing to assist with data-related technical needs and support their data infrastructure needs.
Ensure operational resilience, stability, and scalability of our enterprise data platform by conduct continuous hardening activates that increase uptime, data quality and reduce cost
Ensure data platform security during data transport and while at rest
Build a data platform to which allows for self-service to data consumers where possible
Conduct data profiling and analysis of complex data sets to discover how to meet functional / non-functional requirements
Institute data quality monitoring and alerting platform operations
Build analytic tools that utilize the data pipeline to provide actionable insights into operational efficiency and other key business performance metrics
Drive innovation by recommending and driving adoption of new technologies that provide competitive data advantages for enterprise
Contributes to agile team alignment and is committed to constant improvement efforts by participating in team ceremonies sprint planning, stand-ups, backlog grooming and retrospectives
Ensure technical delivery of detailed feature/story level solutions that satisfies the IT roadmap's acceptance criteria
8+ years of work experience with developing data platforms and/or full stack applications, preferably in a cloud environment, like AWS, Azure, or GCP
Experience in, and comfortable with, being part of a team that builds components as part of a distributed environment
Strong programming skills – Java, Scala and/or .Net/C#.
Experience in building frontend and backend applications using modern frameworks and technologies.
Familiarity using relevant, modern, software test tools and equipment
Experience in building cloud-based, container components
Participate in on-call rotation for applications
Ability to work in a dynamic team environment, and possess time management skills to meet schedules and participate in the scrum
Bachelor's degree in Computer Science, Information Systems, Mathematics or Engineering from an accredited academic university, or an equivalent combination of education and experience
Experience with, or interest in, the software product development process for medical devices, particularly working in a design control environment
Specific and relevant Google Cloud Platform experience .
Experience and Education Requirements:
Typically requires a Bachelor's degree in a technical discipline, and a minimum of 8-12 years related experience or Master's degree and 5-7 years equivalent industry experience or a PhD and 2-4 years of experience.
Valid Through: 2019-10-15