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Senior Data Solutions Developer

Job description

BigCommerce’s mission is to help merchants sell more at every stage of growth, from small startups, to mid-market businesses to large enterprises. We focus on being the best ecommerce platform so our customers can focus on what matters most: growing their businesses.

We are equally passionate about growing our employee’s careers and providing them an incredible experience as we rapidly expand across the globe. We are proud to have been  recognized numerous times  for our product and workplace culture. We empower our people and customers to build, innovate and grow, so together we can redefine the ecommerce industry.

As Senior Data Solutions Developer you will help lead the evolution of our data-driven decision-making at scale across the company. This role will be responsible for building, maintaining and supporting data warehousing solutions with an emphasis on creating automated and/or algorithmic approaches that reduce or replace manual effort. You will be instrumental in ensuring access to clean, consistent and logical data to stakeholders in a wide variety of roles.

What You’ll Do

  • Build and maintain scalable scheduled jobs to extract, load and transform data, in addition to troubleshooting and fixing problems with existing processes. 
  • Connect and explore disparate data sources from production systems, business applications and third party data sources.
  • Build and maintain data models, experiments, algorithms and related business and financial reporting logic
  • Transform low-value datasets into highly structured and consistent data models for use by analysts, data scientists and reporting tools
  • Develop scalable, efficient, and automated processes and data pipelines, in addition to diagnosing and debugging problems with existing structures
  • Make recommendations to improve technical systems and infrastructure

Who You Are

  • 1-3 years experience in a related role
  • Technical background, preferably in data/analytics, with programming experience or education
  • Advanced SQL skills are required
  • Experience with database platforms like Snowflake, Redshift, BigQuery or similar
  • Advanced Python skills plus scripting in 1 or 2 other languages (BASH/Python/JavaScript/etc)
  • Experience developing and maintaining ETL\ELT processes and common data transformation techniques (e.g. normalization and denormalization, string parsing, primary key generation)
  • Exposure to database design, Amazon Web Services, or Linux command
  • Possess at least a Bachelor’s degree in a quantitative field (economics, statistics, business, computer science) or equivalent experience, advanced degree a plus
  • Quantitative mindset and passion for data
  • Able to deal with ambiguity and problem-solve independently
  • Self-starter: able to succeed and have an impact with minimal direction
  • Ambitious, self-motivated, and goal-oriented
  • Excellent time management skills
  • Strong communication skills, both verbal and written

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Diversity, Equity & Inclusion at BigCommerce
 
Our employees make the difference. At BigCommerce, we believe that celebrating the unique histories, perspectives and abilities of every employee makes a difference for our company, our customers and our community. We are an equal opportunity employer and the inclusive atmosphere we build together will make room for every person to contribute, grow and thrive.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions and to receive other benefits and privileges of employment. If you need an accommodation in order to interview at BigCommerce, please let us know during any of your interactions with our recruiting team.

Learn more about the BigCommerce team, culture and benefits at  https://careers.bigcommerce.com .

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Our Operations team focuses on increasing the revenue growth rate of BigCommerce. We identify highly-leveraged opportunities, and rally the company around a common set of goals to drive progress year on year.

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