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Data Engineer

Industry: Technology
Remote
Company size: 11-50
Full-time/Part-time

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Job description

A rapidly-growing company driving a better outdoor advertising business by cutting-edge audience location measurement, analytics, and market research development, is looking for a Data Engineer. The selected candidate will be responsible for designing fault-tolerant batch and real-time data pipelines with scalable functions for extracting massive datasets from several platforms. The company provides clients with demographic-specific impressions, rating points, reach, and frequency measurements for over a million out-of-home materials in the database. This long-term, full-time role will require 4+ hours of overlap with the EST time zone.

 

Job Responsibilities:

  • Create fault-tolerant batch and real-time data pipelines with scalable functions to extract huge datasets across several platforms, including location and time series data
  • Examine existing data processes to find opportunities for improvement
  • Collaboration with product management, technical program management, operations, and other engineers should be effective
  • Create and put into practice remedies that enhance scalability, performance, cost-effectiveness, and data quality

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of relevant experience as a data engineer
  • Knowledge of Snowflake UDFs/stored procedures
  • Familiarity with Apache Airflow
  • Experience with Python
  • Knowledge of SQL
  • Expertise in Java and Amazon RDS is a plus
  • Knowledge of AWS and PyTest framework is desirable
  • Proficiency in English

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