Numerator | Hiring | Full stack Engineer -Python | BigDataKB.com | 1/12/2022

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Numerator

Vadodara

Internet

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

We’re hiring a talented Full stack Engineer and Big Data enthusiast to work in our platform to help ensure that our data quality is flawless. As a company, we have millions of new data points every day that come into our system. You will be working with a passionate team of engineers to solve challenging problems and ensure that we can deliver the best data to our customers, on-time. You will be using the latest cloud data warehouse technology to build robust and reliable data pipelines.

Duties/Responsibilities Include:

  • Develop expertise in the different upstream data stores and systems across Numerator.
  • Design, develop and maintain data integration pipelines for Numerators growing data sets and product offerings.
  • Build testing and QA plans for data pipelines.
  • Build data validation testing frameworks to ensure high data quality and integrity.
  • Write and maintain documentation on data pipelines and schemas

Skills & Requirements


Requirements
:

  • BS or MS in Computer Science or related field of study
  • 3+ years of experience in the data warehouse space
  • Proficiency in Python, Django(similar web-framework like flask, fastapi)
  • Proficiency in Javascript, React or Angular or Vue.
  • Experience with CI/CD pipeline for code checkin and deployment
  • Prior experience in Web based application development


Exceptional candidates will have:

  • Experience with schema design and data modeling
  • Amazon Web Services (Lambda, CloudWatch, RDS) experience
  • Understanding of RDBMS especially PostgresSQL, Oracle.

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