Engineer looking intently at the code on her computer screen

Help change the lives of millions of readers

Goodreads is creating new ways to deliver highly personalized and relevant content for millions of readers around the world, built on one of the world’s largest collections of data about books and reading trends.

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Our mission

We’re a mission-driven company, only at the beginning of helping readers find books they love, read more, and share ideas.

As an Amazon company, we utilize cutting-edge technology and technical expertise. We are deeply integrated with Kindle and have exciting opportunities to invent the future of reading in partnership with Kindle, Audible, Alexa, and more.

Woman animatedly talking to a coworker in front of bookshelves
Two smiling men sitting in a library, engaged in discussion
A female and male engineer programming together at a coworking desk

Our culture

Our headquarters are located in San Francisco. When we’re not working, we’re looking to expand our horizons in other ways, including visits by bestselling authors, hackathons, team-led tech talks, game nights, and volunteering at local charities. And, of course, we love books and have free books and internal book clubs.

Goodreads is a subsidiary of Amazon — many of our employees get opportunities to travel to Amazon’s main campus in Seattle for training, conferences, and working with our partner teams.

Woman animatedly talking to a coworker in front of bookshelves
Two smiling men sitting in a library, engaged in discussion

Employee wellness

Health & Support

Family Care

Financial Security

Perks

As a subsidiary of Amazon, we offer a full range of benefits that support you and eligible family members. Learn more about Amazon benefits

Find your next job

Want to be part of creating innovative experiences for the largest community of readers? We’re hiring!

Application Engineer

Chennai, Tamil Nadu, IND

Goodreads Team is looking for a talented data engineer who is customer focused and has strong expertise in building enterprise scale analytics and datamarts. In this role, you will deliver world class data infrastructure for Goodreads. You will work with product managers, BI managers and business leaders to help define the data product vision and will work closely with high performing data engineers.
An ideal individual is someone who has deep traditional data engineering skills around ETL, data modeling, and database architecture, combined with the ability to architect and visualize products and infrastructures in the big data space.
You have strong business judgement, excellent written and verbal communication skills, and are comfortable working with business leaders at all levels, including senior management.

Basic Qualifications:
· Bachelors in Computer Science, Engineering, Statistics, Mathematics or related field
· 6-9 years of experience in data engineering / business intelligence space
· Strong understanding of ETL concepts and experience building them with large-scale, complex datasets using traditional or map reduce batch mechanism.
· Strong data modelling skills with solid knowledge of various industry standards such as dimensional modelling, star schemas etc
· Extremely proficient in writing performant SQL working with large data volumes
· Experience designing and operating very large Data Warehouses
· Good to have experience working on AWS stack
· Clear thinker with superb problem-solving skills to prioritize and stay focused on big needle movers
· Curious, self-motivated & a self-starter with a ‘can do attitude’. Comfortable working in fast paced dynamic environment.

Preferred Qualifications:
· Deep understanding and knowledge of AWS stack - Redshift, EMR, S3
· Ability to work with search technologies such as Elasticsearch
· Experience with Python and Java



Qualified applicants with criminal histories will be considered in a manner consistent with all applicable local, state and federal laws, including the San Francisco Fair Chance Ordinance.