HomeNumerator | Jobs | Configuration Engineer RDL (Python) | BigDataKB.com | 31-03-22
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Numerator | Jobs | Configuration Engineer RDL (Python) | BigDataKB.com | 31-03-22

Job Location: Remote

Numerator is a data and tech company bringing speed and scale to market research. Headquartered in Chicago, IL, Numerator has more than 2,000 employees worldwide. The company blends proprietary data with advanced technology to create unique insights for the market research industry that has been slow to change. The majority of Fortune 100 companies are Numerator clients.

Here at Numerator, we’ve made all corporate roles have maximum flexibility between office and remote work, except for rare situations when the role requires coming into an office regularly. In those situations, the recruiter of that role will clarify at the beginning of the process if that is the case. In fully remote situations, the company will provide technical equipment necessary to be successful in the role. In addition to maximum flexibility of return-to-office, the company also provides generous PTO, Internally Quiet Focus Time, and other recharge efforts to give time back to employees.

Job Description


About the role

Numerator is currently looking for a Configuration Engineer to join our RDL team here in Pune. In this role, you will be responsible for helping to grow and maintain a library of thousands of receipt parsing configurations used by fortune 500 brands and retailers. Day-to-day, you’ll come up with creative solutions to complex problems, and learn new skills to complement your existing abilities.

This is a great role for those who are looking for hands-on experience with high visibility and impact. We welcome fresh ideas and approaches as we constantly aim to improve our development processes. Our team has experience using a wide range of technologies and years of cloud and big data experience. We are always learning and growing, so we can guarantee that you won’t be bored with us!

If you are seeking an environment where you get to do meaningful work with other great engineers, then we want to hear from you!


What you will get to do

  • Write clean, efficient, thoroughly tested code, back-up with pair programming and code reviews. Much of our code is Python, but we use all kinds of languages and frameworks.
  • Create complex regexes that pull structured data out of OCR-transcribed receipt images as well as XPATHs to extract data from receipt emails.
  • Maintain the platform that drives our receipt extraction at scale.
  • Troubleshoot, test, and maintain the platform and configurations to ensure strong optimization and functionality.
  • Evaluate the technical tradeoffs of decisions and build things that last and scale.
  • Maintain and fix existing configuration issues.
  • Create and analyze new configuration technologies – figuring out how we can scale up our receipt extraction.

Skills & Requirements


Skills & Requirements

  • Programming experience in Python
  • An eagerness to learn new things, and improve upon existing skills, abilities and practices
  • Familiarity with web technology, such as HTTP, JSON, HTML, XPath or JavaScript.
  • Knowledge in an Agile software development environment,
  • Experience with version control systems (Git, Subversion, etc.).
  • Have a real passion for clean code and finding elegant solutions to problems.
  • Eager to expand your knowledge and abilities in python and cloud-based technologies.
  • Motivation to participate in ongoing learning and growth through pair programming, test-driven development, code reviews, and application of new technologies and best practices.
  • You look ahead to identify opportunities and foster a culture of innovation.
  • Good communication (verbal and written)

Nice to haves

  • Knowledge of web scraping
  • Knowledge of business rules engines.
  • Familiarity with virtual software development environments (ie. Vagrant, docker etc.)
  • Familiarity with object oriented programming
  • Scripting knowledge
  • Familiarity with JSON and similar data formats
  • Experience with databases, SQL or noSQL.
  • Programming experience on Unix based infrastructure.
  • Knowledge of cloud-based systems (EC2, Rackspace, etc.).
  • Expertise with big data, analytics, machine learning, and personalization.

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