Remote Data Engineer - Python, ETL, AWS, Graph

Company: Jobot
Location: New York, New York, United States
Type: Full-time
Posted: 07.APR.2021

Summary

Remote Data Engineer (Python / ETL / AWS) needed for a growing cloud based R&D Biotech company! This Jobot Job is hosted by Stanton Sikorsk...

Description

Remote Data Engineer (Python / ETL / AWS) needed for a growing cloud based R&D Biotech company!

This Jobot Job is hosted by Stanton Sikorski
Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume.

A Bit About Us

Founded over a decade ago and based on the East Coast, we specializing in building a cloud-based platform for life scientists. Our mission is to give the brightest minds tools to leverage critical information resources that are key to driving innovation. Our flagship product is a groundbreaking cloud-based R&D SaaS platform built specifically for how life scientists work. By providing researchers with the best digital tools and networking them with colleagues, we're empowering R&D teams to generate novel insights, compress the time and money required to achieve key R&D milestones and produce knowledge that can be monetized to drive business forward. Our customers include Fortune 500 pharmaceutical and life sciences companies as well as mid-level companies. Exp. or knowledge of Graph Databases and Graph Theory are needed for this role.



Why join us?

  • Competitive base salary based on exp.
  • Full benefits Medical, Dental, Vision
  • Generous vacation, sick, PTO, and holidays
  • Work Remote
  • Bonus
  • Equity

Job Details
  • Build & operate automated ETL pipelines that process terabytes of text data nightly
  • Develop service frontends around our various backend datastores (AWS Aurora MySQL, Elasticsearch, S3)
  • Perform technical analyses and requirements specification with our product team on data service integrations
  • Help customers bring their data to the platform
You should know the following
  • Python 3+ or Java programming, both would be preferred
  • Day-to-day experience using AWS technologies such as Lambda, ECS Fargate, SQS, & SNS
  • Exp. building and operating cloud-native data pipelines
  • Exp. extracting, processing, storing, and querying of petabyte-scale datasets
  • Familiarity with building and using containers
  • Familiarity with event-based microservices
  • Knowledge of Graph databases and Graph Theory
Pluses
  • Prior experience with Elasticsearch (custom development and/or administration)
  • Prior work with text and natural-language processing

Interested in hearing more? Easy Apply now by clicking the "Apply" button.

 
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