Senior Data Engineer

Coursera

Toronto, CA
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 02/12/2021
  • Website: coursera.org
  • Company Address: 381 E Evelyn Ave, Mountain View, CA, 94041

About Coursera

Coursera was founded by two computer science professors at Stanford with a vision of providing life-transforming learning experiences to anyone, anywhere. It is the world’s largest online learning platform for higher education. 190 of the world's top universities and industry educators partner with Coursera to offer courses, Specializations, and degrees that empower over 43 million learners around the world to achieve their career goals.

Job Description

Coursera is a leading online learning platform for higher education, where 71 million learners from around the world come to learn skills of the future. More than 200 of the world’s top universities and industry educators partner with Coursera to offer courses, Specializations, certificates, and degree programs. Thousands of companies trust the company’s enterprise platform Coursera for Business to transform their talent. Coursera for Government equips government employees and citizens with in-demand skills to build a competitive workforce. Coursera for Campus empowers any university to offer high-quality, job-relevant online education to students, alumni, faculty, and staff. Coursera is backed by leading investors that include Kleiner Perkins, New Enterprise Associates, Learn Capital, and SEEK Group.
 
Data Engineering is unique at Coursera. Our team doesn’t simply build reports on demand. Rather, we build the semantic infrastructure and products that empower our internal and external customers with the data to innovate and perform their jobs better.
 
We’re looking for a talented and driven senior data engineer with a keen eye for data and business to help us build and scale our platform. Our ideal candidate is an independent, analytically-minded individual with strong data modeling and software engineering skills, who shares our passion for education. In this role, you’ll directly work with cross-functional teams(product, engineering, services) to design, develop, and deploy data solutions for our enterprise learners and admins.

Your responsibilities:

  • Architect scalable data models and build efficient and reliable ETL pipelines to bring the data into our core data lake
  • Design, build, and launch visualization and self-serve analytics products that empower our internal and external customers with flexible insights
  • Build data expertise, and partner with data scientists and product engineers to define and standardize business rules and maintain high-fidelity data
  • Partner with other engineers in the development of new tools to enable our customers to understand and access data more efficiently
  • Work cross-functionally (eg: product managers, engineers, business teams) to support new product and feature launches

Your skills:

  • 5+ years experience in a data-related field, including data engineering, data warehousing, business intelligence, data visualization, and/or data science
  • Strong software engineering skills and at least one scripting language (e.g., Python)
  • Proficient with relational databases and SQL
  • Familiarity and experience with big data technologies (eg: Hive, Spark, Presto) preferred
  • Ability to communicate technical concepts clearly and concisely
  • Independence and passion for innovation and learning new technologies

If this opportunity interest you, you might like these courses on Coursera -

Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class.
 
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at [email protected]
 
Please review our CCPA Applicant Notice here.

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This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.