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Engineer - ETL

Experienced

Numerator | Engineering

We’re hiring a talented Data 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
  • Expert in SQL, including advanced analytical queries
  • Proficiency in Python (data structures, algorithms, object oriented programming, using API’s)
  • Experience working with a cloud data warehouse (Redshift, Snowflake, Vertica)
  • Experience with a data pipeline scheduling framework (Airflow)
  • Experience with schema design and data modeling

Exceptional candidates will have:

  • Amazon Web Services (EC2, DMS, RDS) experience
  • Terraform and/or ansible (or similar) for infrastructure deployment
  • Airflow -- Experience building and monitoring DAGs, developing custom operators, using script templating solutions.
  • Experience supporting production systems in an on-call environment