Data Engineer

AliveCor

Bangalore, IN
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 01/14/2021
  • Website: alivecor.com
  • Company Address: 444 Castro street 6th Floor, Mountain View, CA, 94104

About AliveCor

AliveCor, Inc. is pioneering the creation of FDA-cleared machine learning techniques to enable proactive heart care and is recognized around the world for transforming cardiac care. The FDA-cleared KardiaMobile is the most clinically validated mobile EKG solution on the market. It is recommended by leading cardiologists and used by people worldwide for accurate EKG recordings. KardiaMobile, and KardiaBand, when paired with the Kardia app provide instant analysis for detecting atrial fibrillation (AF) and normal sinus rhythm in an EKG. Kardia is the first A.I. enabled platform to help clinicians manage patients for the early detection of atrial fibrillation, the most common cardiac arrhythmia and one that leads to a five times greater risk of stroke. KardiaBand is the first FDA-cleared medical device accessory for Apple Watch. AliveCor is recognized by FastCompany as 2018's No. 1 most innovative company in artificial intelligence. AliveCor is a privately-held venture backed company headquartered in Mountain View, Calif.

Job Description

  • Work with structured and unstructured real-world medical data
  • Design, build and launch efficient and reliable data pipelines to move complex data
  • Write high-quality, efficient, testable code in Python, C++, or Go.
  • Build data expertise and own data quality
  • Collaborate with software and AI engineers to design and implement data architecture
  • Integrate with 3rd party analytics tools and APIs (Mixpanel, Google Analytics)
  • Build horizontally scalable infrastructure to support ML training and data mining research

Qualifications and Skills:

  • B.E. in Computer Science or a related discipline, or related practical experience
  • Minimum 4 years of Experience with Data Engineering & Data Architecture
  • Experience using advanced SQL and databases in a business environment with large-scale datasets (Hadoop, Hive, Presto)
  • Experience with statistical modeling and analyzing large data sets
  • Experience with product analytics tools and APIs (Mixpanel, Google Analytics)
  • AWS expertise (S3, EC2, Lambda, Redshift, Athena) is a plus
  • Experience developing scalable microservices also a plus
  • Familiarity with Kimball's data warehouse lifecycle

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.