A senior data engineer on Ookla's Data Engineering team, which processes one of the world's best collections of mobile and fixed internet performance data. You develop tools, libraries and operations for data scientists and analysts.
Responsibilities
- ▹Develop high-volume data processing jobs across 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.
- ▹Mentor and guide junior team members on architectural principles, best practices and effective ways of working.
Requirements
- ▹Bachelor's degree in Computer Science or a related field, or equivalent experience.
- ▹Strong understanding of programming concepts with experience in at least one 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.
- ▹A background check is required.
Nice to have
- ▹Experience with AWS cloud services.
- ▹Experience with event-driven architecture and streaming data pipelines.
Soft skills
Strong communication in person and virtuallyTime managementSelf-driven work ethicMentoringEagerness to learn new technologies
What we offer
- ▹A flexible work environment where individuality, fun and talent are valued equally.
About the company
Ookla, an Accenture company, is a global leader in connectivity intelligence (Speedtest, Downdetector, Ekahau, RootMetrics). Its solutions help service providers, enterprises and governments optimise their networks.
Education: Számítástechnikai vagy rokon szakterületi alapdiploma, vagy egyenértékű tapasztalat
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