Data Engineer III

• Develop high-volume data processing jobs across Redshift, Athena, Iceberg, Spark, and Airflow
• Work closely with Data Scientists to turn theory and methodology into viable products
• Identify system performance bottlenecks and recommend process-efficiency improvements
• Support and collaborate with data scientists, analysts, and product managers
• Mentor and guide junior team members on architectural principles, best practices, and effective ways of working
• Build tools, libraries, and operations supporting data scientists and analysts working with mobile and fixed internet performance data

• Bachelor's degree in Computer Science or related field or equivalent experience
• Strong understanding of programming concepts
• Experience in at least one object-oriented programming language: Python, Scala, or Java
• 6+ years of direct experience working with Python
• Experience with high-volume distributed data processing in Spark
• Strong working knowledge of SQL, MySQL, Redshift, Athena, Trino, data modeling, and modern data warehouse/lakehouse management
• Excellent troubleshooting and analysis skills
• Strong communication skills in person and via virtual mediums
• Strong time management skills and self-driven work ethic
• Background check required
• Experience with AWS cloud services is a plus
• Experience with event-driven architecture and streaming data pipelines is a plus

• Flexible work environment
• Individuality, fun, and talent valued equally