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Data Delivery Engineer

Numerator

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0-2 Years
a month ago
143 Viewed
40 Applied

Job Description

We're reinventing the market research industry. Let's reinvent it together.

At Numerator, we believe tomorrow's success starts with today's market intelligence. We empower the world's leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it.


Numerator is looking for an Engineer to join our Data as a Service (DaaS) team. As part of our DaaS team, you will be a vital member ensuring on-going excellence in delivery of our data feed solutions. You will be responsible for the technical delivery of our data feeds product to a myriad of clients and strategic partnerships, as well as work on on-going improvements and extensions to this capability. This is an opportunity to
collaborate with a cross-functional team in one of our fastest growing business areas.

Responsibilities

  • Develop expertise in Numerator datasets with deep understanding of data schema and storage systems
  • Define queries for data feed deliveries via interpretation of data requirements and
    scoping documents
  • Maintenance of technical documentation as it relates to DaaS delivery processes
  • Assist in development and maintenance of Airflow dependent processes
  • First level support for operational triage and bug fixes in code
  • Implement extensions of pre-defined code and architecture
  • Regularly communicate progress and timing implications for directed tasks

Skills & Requirements
  • Bachelor's Degree in Computer Science, Engineering, Mathematics or related
    fields
  • Intermediate to advanced experience with SQL
  • Experience with ETL tooling (particularly Airflow)
  • Demonstrated ability to learn new technologies and comfort with shifting environments
  • Strong database skills
  • Experience with version control systems (Git, etc.)
  • An eagerness to learn new things, and improve upon existing skills, abilities, and practices.

Nice to have

  • Prior experience with Snowflake Data Warehouse
  • Knowledge of engineering best practices and coding standards
  • Airflow -- Experience building and monitoring DAGs, developing custom operators and using script templating solutions
  • Scripting experience with Python
  • CPG and/or retail industry knowledge

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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