Senior Data Engineer
hace 1 mes
About Ookla Group
Ookla Group is a global leader in connectivity intelligence, offering unparalleled network insights through the combined expertise of Speedtest, Downdetector, RootMetrics, and Ekahau. Our datasets combine crowdsourced and controlled, public and private collection methods, QoS and QoE metrics, and more to unlock correlations and actionable insights – helping organizations optimize networks, enhance digital experiences, and create better connected experiences for end-users.
Our Mission
We're on a mission to advance our vision of better connectivity for all. We believe that everyone deserves fast, reliable, and accessible internet connectivity. As a Senior Data Engineer on our team, you'll play a critical role in helping us achieve this goal.
Job Summary
We're seeking an experienced Senior Data Engineer to join our Data Engineering team. As a key member of our team, you'll be responsible for developing tools, libraries, and operations to support data scientists and analysts as they discover new and exciting ways to apply our data. You'll work with big data using the latest technologies and collaborate closely with our data scientists to turn theory and methodology into viable products.
Key Responsibilities
- Develop high-volume data processing jobs across various platforms, including Redshift, Athena, Iceberg, Spark, and Airflow.
- Work closely with data scientists to turn theory and methodology into viable products.
- Identify bottlenecks in system performance and make recommendations on improving process efficiency.
- Support and collaborate with data scientists, analysts, and product managers.
Requirements
- Bachelor's degree in Computer Science or related field, or equivalent experience.
- Strong understanding of programming concepts with experience in at least one OOP language (Python, Scala, Java).
- Strong background and 3+ years of direct experience working with Python.
- Experience with high-volume distributed data processing in Spark.
- Strong working knowledge of SQL, databases (MySQL / Redshift / Athena / Trino), data modeling, and modern data warehouse (lakehouse) management.
- Excellent troubleshooting and analysis skills.
- Excited to learn and work with new technologies in a dynamic environment.
- Strong communication skills both in person and via virtual mediums.
- Strong time management skills and a self-driven work ethic.
Compensation
The estimated annual salary for this role is around $120,000-$150,000, depending on your level of experience and qualifications.
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