Offer summary

Qualifications:

Experience with data pipelines in cloud environments, preferably AWS., Proficiency in Python or Java programming., Strong SQL skills and experience in data modeling for BI tools., Experience with data orchestration tools like Apache Airflow and containerization such as Docker/Kubernetes..

Key responsibilities:

Design and implement scalable data pipelines, both streaming and batch.

Collaborate with engineers and data analysts to develop reliable datasets.

Manage and optimize the performance of the SingleStore database.

Support the scaling of the SaaS platform to accommodate more customers and data.

Job description

Description

Position at Ookla

Ookla ® is a global leader in connectivity intelligence, offering unparalleled network insights through the combined expertise of Speedtest ® , Downdetector ® , RootMetrics ® , and Ekahau ® . Ookla’s complementary 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 team is a group of people brought together through passion and inspired by possibility. We are looking for team members who love solving problems, are motivated by challenges, and enjoy turning clever ideas into exceptional products. When you work for us, you are using Ookla data and insights to advance our mission of better connectivity for all.

We are committed to providing you a flexible work environment where individuality, fun, and

talent are all valued equally. If you consider yourself innovative, adept at collaboration, and you care deeply about the work you do, we want to talk!

Ookla is looking for a Data Engineer to help us scale our SaaS Platform & Applications further to take on more customers and data. Daily you will be working with data pipelines taking our raw data, delivered through APIs, to enhanced datasets that can be used by data analysts and data scientists.

Expectations for Success

Participate in the design and help drive the implementation of our data platform
Design, implement, and operate streaming and batch pipelines that scale
Partner with both engineers and data analysts to build reliable datasets that can be trusted, understood, and used by the rest of the company
Help manage our SingleStore database, optimizing performance for queries and tables

Requirements:

Experience working with data pipelines in at least one cloud, preferably AWS
Know and have worked with Python or Java
Comfortable in SQL
Experience in creating, and optimising, data models suited for data analysts used in BI tools such as Tableau
Embrace a fast-paced start-up environment

Have prior professional experience in building streaming and batch pipelines
Familiarity with data orchestration (Apache Airflow)
Experience with docker/kubernetes
Know your way around data warehouse solutions such as BigQuery and/or Amazon Redshift
Should be passionate about your job and enjoy a fast paced international working environment
Background or experience in the telecom industry is a plus but not a requirement
Love automating and enjoy monitoring

Required profile