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., Familiarity with data orchestration tools like Apache Airflow..
Key responsibilities:
Design and implement scalable data pipelines, both streaming and batch.
Collaborate with engineers and data analysts to build reliable datasets.
Manage and optimize the SingleStore database for performance.
Support the scaling of the SaaS platform to accommodate more customers and data.
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Spiceworks is a global technology service that connects millions of technology decision makers so that they can succeed in their jobs, every day. We help people discover, adopt, and manage the latest technologies in a way that solves problems faster, and makes their jobs easier. Spiceworks empowers people to use technology to make their organizations, their communities, and the world better.
Spiceworks award-winning free tools and apps, such as the Cloud Help Desk, are trusted by more than 280,000 organizations worldwide. The best part about Spiceworks’ cloud-based services is that you do not require to procure, setup, or maintain a server. And it’s all for free.
You can also connect with your peers in the Spiceworks Community; Unlike other IT sites, Spiceworks offers so much more than answers to tech questions. The Community is built upon a solid foundation of authentic connections between everyone in IT, including the brands and vendors who support them.
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
Experience
Level of experience:Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.