Data Engineer

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