Senior Data Engineer at NCUBE | Torre

Senior Data Engineer

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Full-time

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Remote (for Poland residents)
Remote (for Spain residents)
Remote (for Romania residents)
Remote (for Portugal residents)
Posted 30 days ago

Responsibilities


Senior Data Engineer We are looking for a Senior Data Engineer for our US-based client – a global leader in connectivity intelligence, delivering data-driven insights and solutions that optimize networks, enhance digital experiences, and drive innovation for service providers, enterprises, governments, and individuals worldwide. Project – advanced SaaS analytics platform for mobile operators, which collects, analyzes, and correlates massive volumes of network performance and user experience data. This gives the ability to help make the internet better, faster and more accessible for everyone. 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. Requirements: Proven experience building both streaming and batch data pipelines Hands-on experience with the AWS cloud platform Proficient in SQL and comfortable working with Python Experience designing and optimizing data models tailored for analytics and used in BI tools like Tableau Familiar with data orchestration tools such as Apache Airflow Deep experience with Spark and Iceberg Comfortable working with Docker and Kubernetes Solid understanding of data warehouse solutions like BigQuery or Amazon Redshift Ability to thrive in a fast-paced, start-up environment Background in or familiarity with the telecom industry is a plus Strong communication skills in English (Upper-Intermediate level or higher) Responsibilities: 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 Work with data pipelines taking our raw data, delivered through APIs, to enhanced datasets that can be used by data analysts and data scientists We offer: Competitive salary Vacation (up to 20 working days) Sick leave (10 working days) National Holidays as time off Flexible working schedule, remote format Online English courses Direct cooperation with the customer Dynamic environment with low level of bureaucracy and great team spirit Challenging projects in diverse business domains and a variety of tech stacks Communication with Top/Senior level specialists to strengthen your hard skills Online teambuildings Volunteering culture development and support
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