Company Name:-
Danaher Digital

Job Location:-
San Jose, CA

Job Summary:-
Job detailsJob TypeFull-timeFull Job DescriptionYou will partner across Danaher to define, architect, develop and deploy new data and AI (Machine Learning/Deep Learning) platform solutions (data, analytics or IoT)!

You will become a trusted technology adviser to our operating companies and customers, and will work with their sales, business development, solution architects and service teams to drive adoption of data and analytics solutions.

We have a passion for inspiring, motivating, educating, designing and building cloud-based data/AI platforms for a diverse and exciting set of markets ranging from life sciences to health care diagnostics to water to environmental sciences and to industrials.

We are open to remote work from The Bay Area, Seattle, San Diego, Irvine and Los Angeles!

Responsibilities

Lead, architect, design and develop secure, scalable, high-performance and reliable – and cost effective – big data and analytics platform software and services

Translate customer’s big data and AI requirements into architectural models
Define, deploy and advance processes for: API-first principles, microservices, SDLC/MDLC (model development life cycle), CI/CD, quality, monitoring, security, extensibility and maintainability of big data and analytics platform software and services

Review code, look for design breaches, provide meaningful and relevant feedback to developers and stay up to date with system changes

Provide technical leadership to software developers, data scientists/engineers and product owners/managers through brainstorming sessions, design reviews and retrospectives.

Qualifications

Bachelor’s in computer engineering, computer science or a related field

8+ years of experience architecting and building Big Data and ML products or platforms software in a software product development organization

5+ years of experience on experience with AWS or Azure cloud platforms, including container platforms (Docker/Kubernetes)

7+ years of experience in one or more programming languages like Java, Python or Scala or Spark

5+ years of hands-on experience in productionizing and deploying Big Data platforms with proficiency in SQL/NoSQL/time series databases, ETL/ELT frameworks, and data security aspect

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