Data Engineer
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 background in distributed data processing and data governance. Ability to manage metadata effectively for analytical and reporting purposes. Experience with machine learning applications is a plus. Excellent problem-solving skills and a collaborative mindset.
At Samba TV, we are at the forefront of transforming the global viewing landscape through our innovative data and technology. Our mission is to enhance the viewing experience for audiences worldwide. With our unique data capabilities, we empower media companies to connect with viewers for their latest shows and movies, while providing advertisers with tools to engage audiences and evaluate their reach across various devices. Our rich narrative is shaped by a diverse array of cultural insights derived from our extensive global data reach and AI-driven analytics.
We are looking for a talented Data Engineer to join our data platform team. This team is essential in developing and maintaining the robust data platform that serves our entire organization, facilitating everything from data ingestion to advanced analytics and reporting. You will work with valuable viewership data and contextual datasets, as well as scalable applications that support data-driven decision-making. Our hybrid work model allows you to collaborate primarily using AWS, Databricks, BigQuery, and Snowflake technologies. The successful candidate will possess significant expertise in cloud-based data engineering, distributed data processing, and data governance, ensuring our analytics, reporting, and machine learning initiatives are well-supported.
About Samba TV
Samba TV is a leading technology company that tracks streaming and broadcast video globally, utilizing proprietary data and innovative technology. Our goal is to revolutionize the viewing experience for audiences and empower media companies through enhanced audience engagement and data-driven insights.
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