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Senior Data Engineer

Gwynnie Bee, Bangalore, India

Plus Size Clothing Subscription Boxes


About Us:
Founded in 2012, Gwynnie Bee offers an unlimited-access clothing subscription service that utilizes innovative technology to transform the lives and wardrobes of women. Fueled by data, we challenge fashion’s status quo with our revolutionary subscription model that allows women to access and experience endless clothing styles without limitations or commitment.

In 2017, Gwynnie Bee launched “CaaStle,” a new technology platform enabling retailers to offer an unlimited-access clothing subscription service business to complement existing business models. As an extension of Gwynnie Bee, CaaStle offers a turnkey solution to retailers.

Comprised of offices in New York City, Mountain View, New Delhi, Bangalore, and two distribution centers located in Groveport and Phoenix, at Gwynnie Bee you'll discover a data- centric team that thrives on collaboration, camaraderie, and productive feedback.

About the role:
In this position, you will be developing platform and features in our machine learning applications team. In this role, you will enhance the product capabilities and help evolve recommendations, search, dynamic pricing, allocation (matching) and other related projects. Over time, you will gain in-depth knowledge of all data-driven applications, distributed systems, big data, and analytics. In this position you will be collaborating with the product team, data scientists and your colleagues to design, define the architecture and do the implementation. You will have the ability to impact customer in a direct and major way.

This position is for you if you are a strong software developer who enjoys working with algorithms, distributed systems, and big data. The position requires strong software development experience along with knowledge of distributed systems, big data, and statistics. Come to join a relatively new startup team of highly motivated and skilled engineers in Bangalore.

We'd love for you to have:

  • Education: A bachelor's degree
  • Experience: 3+ years of relevant work experience 
  • Strong algorithmic and problem-solving skills
  • Strong in any one of C++, Java, Python.
  • Strong in software design & object-oriented design
  • Strong debugging skills
  • Must be self-motivated, able to work independently and have a strong desire to develop high-quality production code.
  • Experience with Statistics, machine learning is a plus
  • Experience with big data technologies like spark is a plus
  • Experience with distributed systems, designing scalable applications is a plus.
  • Good communication and organizational skills

Even if you don’t meet all of these qualifications above, we’d still love to hear from you. Tell us about your unique qualifications in your cover letter.

Gwynnie Bee is committed to equality of opportunity in employment. It has been and will continue to be the policy of Gwynnie Bee to provide full and equal employment opportunities to all employees and candidates for employment without regard to race, color, religion, national or ethnic origin, veteran status, age, sexual orientation, gender identity, or physical or mental disability. This policy applies to all terms, conditions, and privileges of employment, such as those pertaining to training, transfer, promotion, compensation and recreational programs.

About Gwynnie Bee

WELCOME TO GWYNNIE BEE & YOUR NEW CLOSET More than five years ago, a few of us came together on a mission to create an exciting new service that helps women discover, experience, and enjoy great clothing without limitations. We believe that fashion has the ability to transform your sense of self–to make you look stunning and feel just as amazing. When I was a little girl growing up in rural Pennsylvania, my aunt made all of my clothing for me. Every Monday I had a fresh box of clothes for the week. Bright prints, matching separates, trendy styles—you name it, I wore it! They always fit and made me feel confident even as I was changing size. Traditional shopping means considering all the limiting factors—how often you will wear each garment, whether it will match your wardrobe or go out of style, and the stress of finding the right fit when you change a size. We hope to deliver all the great things that fashion has to offer, without all the stress. Welcome to the Gwynnie Bee family. With Love, Christine

Want to learn more about Gwynnie Bee? Visit Gwynnie Bee's website.