Senior Data Engineer

A well-known company enabling a smarter out-of-home market with cutting-edge audience location monitoring, analytics, and market research innovation is looking for a Senior Data Engineer. The selected candidate will be responsible for assisting in the resolution of data migration challenges and the enhancement of system performance. The company develops and oversees procedures for gathering, recording, authenticating, and verifying traffic and other information relevant to the location-based audience measurement. This will be a long-term, full-time role that requires 4+ hours of overlap with the EST time zone.

Job Responsibilities:

• Control the delivery of fault-tolerant batch and real-time data pipelines, scalable functions, and large-scale datasets, including location and time series data, across several platforms
• Create fault-tolerant batch and real-time data pipelines and scalable functions
• Assist with deciphering data migration issues and improving system performance
• Collaborate efficiently with product management, technical program management, operations, and other engineers

Job Requirements:

• Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
• At least 3-5+ years of relevant experience as a software engineer
• Knowledge of Snowflake UDFs/stored procedures
• Familiarity with Apache Airflow
• Experience with Python
• Knowledge of SQL
• Expertise in Java is a plus
• Knowledge of AWS and PyTest framework is nice to have
• Proficiency in English