Senior Data Engineer - Doximity | New Day Jobs (Yangon, Myanmar)

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Doximity
Remote (Asia Time Zone Permitted)

Senior Data Engineer

Senior Data Engineer

Doximity
Salary : Login to view salary
Job Type : Full-Time
Education Requirement : Bachelor Degree
Skills : Python  SQL 
Experience : 1 to 3 years
Work Days : Monday To Friday
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Job Detail

Doximity is transforming the healthcare industry. Our mission is to help doctors be more productive, informed, and connected. As a software engineer focused on our data stack, you'll work within cross-functional delivery teams alongside other engineers, designers, and product managers in building software to help improve healthcare. 

Our team brings a diverse set of technical and cultural backgrounds and we like to think pragmatically in choosing the tools most appropriate for the job at hand.  

One of Doximity's core values is stretching ourselves. Even if you don't check off all the boxes below we encourage you to apply. Doximity is full of exceptional people that don't fit a mold, join us!

About you

  • You have professional experience developing data processing, enrichment, transformation, and integration solutions.
  • You are fluent in Python and SQL.
  • You are no stranger to data warehousing and designing data models.
  • You are foremost an engineer, making you passionate for high code quality, automated testing, design patterns, and other engineering best practices.
  • You care deeply about the data being generated. You study the data and extract insights from it before you process it.
  • You are user experience and product focused. You build solutions while thinking about the impact it has on our users and enhances the product.
  • You are able to design data architecture that ensures solutions are fault tolerant, scaleable, and easy to iterate upon.
  • You have the ability to self-manage, prioritize, and deliver functional solutions.
  • You know your way around Git and AWS services.
  • You agree that concise and effective written and verbal communication is a must for a successful team.
  • You are able to maintain a minimum of 5 hours overlap with 9:30 to 5:30 PM Pacific time.
  • Here's How You Will Make an Impact
  • Collaborate with product managers, data analysts, and machine learning engineers to develop pipelines and ETL tasks in order to facilitate the extraction of insights from data.
  • Build, maintain, and scale data pipelines that empower Doximity’s products.
  • Establish data architecture processes and practices that can be scheduled, automated, replicated and serve as standards for other teams to leverage. 
  • Spearhead, plan, and carry out the implementation of solutions while self-managing.

About Us

  • Explore our stack
  • We have over 350 private repositories in Github containing our pipelines, our own internal multi-functional tools, and open-source projects
  • We have worked as a distributed team for a long time; we're currently about 65% distributed
  • Find out more information on the Doximity engineering blog
  • Our company core values
  • Our recruiting process
  • Our product development cycle
  • Our on-boarding & mentorship process

Benefits & Perks

  • Generous time off policy
  • Comprehensive benefits including medical, vision, dental, Life/ADD, 401k, flex spending accounts, commuter benefits, equipment budget, educational resources and conference access
  • Family support and planning benefits
  • Pre-IPO stock incentives
  • ....and much more! For a full list, see ourcareer pa

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