Data Engineer II
Core
Design and develop high-volume data processing pipelines to support data scientists and analysts in discovering insights on mobile and fixed internet performance.
Role type
Mid-level Data Engineer
Builds
Data processing pipelines, libraries, and operations for connectivity intelligence
Domain
Internet performance analytics / Big Data
Deliverable
production ML models
Required skills
SQL, Data modeling, Workflow orchestrators (Dagster, Airflow, Prefect), Python, ETL/ELT design patterns, Spark, AWS cloud services
Preferred skills
Geospatial data (H3 / Quadkey/S2), Multi-source data integration
Technologies
Redshift, Athena, Iceberg, Spark, Airflow, MySQL
Responsibilities
Design and develop high volume data processing pipelines across various platforms; Implement monitoring, alerting, and data quality checks; Contribute to architectural decisions and technical design discussions; Participate in code reviews and contribute to team standards; Support and collaborate with data scientists, analysts, and product managers
Seniority
Mid-level, hands-on IC
