
201 - 500 employees
Founded 2006
📡 Telecommunications
🏢 Enterprise
Telecommunications • Enterprise
Ookla is a leading provider of network intelligence and connectivity insights. The company offers a wide range of solutions including network planning and optimization, service disruption management, and network testing. Ookla's products, such as Speedtest, Downdetector, and Ekahau, are used by mobile network operators, internet service providers, governments, and enterprises to enhance digital experiences and optimize network performance. Ookla also provides market reports and data-driven insights that inform policy and infrastructure decisions related to telecommunications. Trusted by consumers, businesses, operators, and governments worldwide, Ookla plays a critical role in measuring and analyzing network performance and quality of service.
🕒 July 15
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201 - 500 employees
Founded 2006
📡 Telecommunications
🏢 Enterprise
Telecommunications • Enterprise
Ookla is a leading provider of network intelligence and connectivity insights. The company offers a wide range of solutions including network planning and optimization, service disruption management, and network testing. Ookla's products, such as Speedtest, Downdetector, and Ekahau, are used by mobile network operators, internet service providers, governments, and enterprises to enhance digital experiences and optimize network performance. Ookla also provides market reports and data-driven insights that inform policy and infrastructure decisions related to telecommunications. Trusted by consumers, businesses, operators, and governments worldwide, Ookla plays a critical role in measuring and analyzing network performance and quality of service.
• Creating and evolving architectural roadmaps for the data platform • Designing and implementing scalable data models, storages and pipelines for critical product features • Acting as a bridge between data science, product engineering, and stakeholders • Establishing and following data governance frameworks, standards, and best practices • Mentoring senior engineers and architects on complex data modeling and distributed system challenges
• Extensive experience in software and data architectures • Expert level fluency in programming (Python, Go or Java) • Strong working knowledge of SQL, databases (MySQL, PostgreSQL, Redshift, Iceberg, Athena) • Experience with streaming and event-driven architectures to process high volume data using tools like Spark • Strong understanding of data modeling and modern data architectures like data lakehouses • 6+ years of relevant data engineering experience
• Competitive salaries • Robust, health and wellness-focused benefits • Paid time off • Employee Resource Groups • Company-sponsored events • Opportunities for professional growth through educational support, mentorship programs, and career development resources • Employee engagement programs and recognition awards
Apply Now🕒 July 15
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