Description
The Opportunity:
We’re looking for a mid level Data Engineer to join the Ookla Data Engineering team and help us process the world’s best collection of data on mobile and fixed internet performance. As a data engineer you will be focused on developing jobs, libraries and operations to support data scientists and analysts as they discover new and exciting ways to apply our data. Applicants should have a strong, data-focused programming background and be passionate about accuracy and performance. You will work on big data using the latest technologies.
Key Responsibilities:
- Design and develop high volume data processing pipelines across various platforms including Redshift, Athena, Iceberg, Spark and Airflow
- Implement monitoring, alerting, and data quality checks to ensure pipeline reliability and data accuracy
- Contribute to architectural decisions and technical design discussions for new data platform initiatives
- Participate in code reviews and contribute to team standards for data quality, testing, and documentation
- Support and collaborate with data scientists,
analysts, product managers and integrating teams
Job Qualifications:
- Bachelor's degree in Computer Science or related field or equivalent experience
- 5+ year of professional experience in data engineering
- Expertise in SQL, databases (MySQL / Redshift / Athena), Data modeling
- Workflow orchestrators (Dagster, Airflow, Prefect)
- Experience working with Python
- Strong communication skills both in person and via virtual mediums
- ETL/ELT design patterns
- Experience with high volume distributed data processing in Spark
- Experience with AWS cloud services
- Background check required
Nice to have:
- Experience with large-scale aggregation and geospatial data (H3 / Quadkey/S2), or with multi-source data integration, is a plus
About
Ookla, an Accenture company, is a general leader in connectivity intelligence that brings together the trusted expertise of Speedtest®, Downdetector®, Ek
📌 Data Engineer II (España)
🏢 Ookla
📍 España