Data Engineer at Samba TV | Warsaw
Samba TVWarsaw
Hybrid Full-time
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Experience Level
Experience
Qualifications
Proven experience in cloud-based data engineering, particularly with AWS, Databricks, BigQuery, and Snowflake. Strong knowledge of distributed data processing methods and frameworks. Understanding of data governance and metadata management practices. Ability to work collaboratively in a hybrid team environment. Proficient in designing scalable data applications and solutions for analytics and reporting.
At Samba TV, we are pioneers in tracking streaming and broadcast video globally through our innovative data and technology solutions. Our mission is to revolutionize the viewing experience for everyone. Our proprietary data empowers media companies to connect with audiences for new shows and movies, while providing advertisers with the tools to engage viewers and measure their reach across all devices. Join us as we share a compelling narrative shaped by a global footprint of data and AI-driven insights.
We are currently looking for a talented Data Engineer to enhance our data platform team. This team is responsible for developing and maintaining the data infrastructure that supports our organization’s operations. Your work will span from data ingestion to analytics and reporting, managing valuable viewership and contextual datasets, and creating scalable applications that facilitate data-driven decision-making. While our organization operates in a hybrid model, you will primarily work with technologies including AWS, Databricks, BigQuery, and Snowflake. The ideal candidate will possess significant experience in cloud-based data engineering, distributed data processing, as well as data governance and metadata management to support analytics, reporting, and machine learning initiatives.
About Samba TV
Samba TV is at the forefront of transforming the media landscape, enabling companies to effectively reach and engage audiences through our cutting-edge data technology. Our mission is to enhance the viewing experience by leveraging powerful insights drawn from a vast array of global data.
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