Data Engineer III

Job not on LinkedIn

🔥 0 minutes ago

🇪🇸 Spain – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Ookla

WebsiteLinkedInAll Job Openings

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.

📋 Description

• 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 bottlenecks in system performance and recommend improvements to process efficiency • 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

🎯 Requirements

• Bachelor's degree in Computer Science or related field or equivalent experience • Strong understanding of programming concepts with experience in at least 1 OOP language (Python, Scala, Java) • 6+ 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 • Willingness 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 • Experience with AWS cloud services is a plus • Experience with event-driven architecture and streaming data pipelines is a plus • Background check required

🏖️ Benefits

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