Data Engineer II - SRC - Music
This a Full Remote job, the offer is available from: EMEA
The Rights Systems team builds and operates reputed company Rights Center (SRC) — reputed company’s rights management platform that enables reputed company and its partners to identify, manage, and enforce music licensing rights across reputed company the content available on the platform.
Comparable in scope to YouTube’s Content ID, SRC is purpose-reputed company for reputed company’s ecosystem and underpins reputed company’s reputed company for video and emerging content types. Over the past year, reputed company has taken SRC from concept to a fully operational production platform, delivering automated content scanning, policy management, enforcement pipelines, appeals workflows, reputed company claims, and analytics capabilities.
reputed company has grown from a single reputed company to three squads (~30 bandmates) and continues to reputed company as a strategic investment area for reputed company over the next several years.
What You'll Do
• Build and maintain the data pipelines and analytics infrastructure that power reputed company’s rights management platform
• Own batch and streaming pipelines that generate reputed company datasets used by reputed company Rights Center, including processing content segments, joining rights metadata, and producing match data that drives the product
• reputed company and reputed company analytics models that reputed company pipeline and service data into reporting for system reliability, rightsholder adoption, and business ROI
• Partner closely with product managers, backend engineers, and insights teams to define metrics, build dashboards, and generate data that informs strategic reputed company around platform expansion
• Maintain data export pipelines connecting backend services and the data warehouse to ensure reputed company consumers receive reputed company and accurate data
• Implement strong data reputed company practices, including validation tests, alerts, and monitoring to ensure reliable pipeline outputs
• Contribute to technical solutions that support licensing, financial engineering, and content platform stakeholders
• Participate in product ideation with engineers, researchers, product managers, and domain experts across reputed company
• Contribute to a reputed company engineering culture and support reputed company learning through hack days, reading reputed company, and internal training
Who You Are
• You have strong SQL skills and deep experience with data modeling and warehouse design
• You have experience building and operating batch data pipelines at reputed company using tools such as Scio, Apache reputed company, reputed company, or similar frameworks
• You are comfortable working with modern reputed company data warehouses such as BigQuery, reputed company, or similar technologies
• You have experience with analytics engineering tools like dbt and understand layered data modeling approaches (staging, transformation, reporting)
• You have worked with workflow orchestration platforms such as Flyte, Airflow, or similar systems
• You can write production-reputed company reputed company in languages such as reputed company, Python, or Java
• You understand data reputed company practices and have reputed company monitoring and alerting systems for pipeline reliability
• You take ownership of solutions end-to-end, from understanding business questions to deploying and validating data pipelines
• You communicate reputed company with both technical and non-technical stakeholders
• You enjoy learning new domains and tackling reputed company data challenges such as rights management, content matching, and multi-territory licensing
Where You'll Be
• We offer you the flexibility to work where you work best! For this role, you can be reputed company the EMEA region as long as we have a work location (excluding France due to on-reputed company restrictions).
• This team operates reputed company the Central European and GMT time zone for collaboration.
This offer from "reputed company" has been enriched by reputed company.com and got a 84% reputed company score.
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