Amazon Music
Lead Data Engineer, Amazon Music DISCO
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Amazon Music Embark on an exhilarating journey with the DISCO team at Amazon Music. As a senior technologist, you’ll own the product, user experience, design, and technology required to deliver state-of-the-art experiences for our internal customers. You will champion a culture of inclusivity and a data-driven mindset, empowering every team member at Amazon Music to make informed decisions and measure impact. You will drive the delivery of accessible data and democratize data access through self-service tools, helping redefine how we approach insights and decision-making. Responsibilities
Develop new data models using engineering patterns that leverage new cloud architectures, genAI, and extend or migrate existing data pipelines to these architectures as needed. Enable the team to build genAI-based applications to improve the efficiency of BI teams and Product Managers. Collaborate with scientists to create fast and efficient algorithms that exploit rich data sets for optimization, statistical analysis, prediction, clustering, and machine learning. Improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers. Ensure data stores are secure and compliant, working with Privacy and compliance teams. Basic Qualifications
5+ years of data engineering experience Experience with data modeling, warehousing and building ETL pipelines Experience with SQL Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS Experience mentoring team members on best practices Preferred Qualifications
Experience with big data technologies such as Hadoop, Hive, Spark, EMR Experience operating large data warehouses Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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at
Amazon Music Embark on an exhilarating journey with the DISCO team at Amazon Music. As a senior technologist, you’ll own the product, user experience, design, and technology required to deliver state-of-the-art experiences for our internal customers. You will champion a culture of inclusivity and a data-driven mindset, empowering every team member at Amazon Music to make informed decisions and measure impact. You will drive the delivery of accessible data and democratize data access through self-service tools, helping redefine how we approach insights and decision-making. Responsibilities
Develop new data models using engineering patterns that leverage new cloud architectures, genAI, and extend or migrate existing data pipelines to these architectures as needed. Enable the team to build genAI-based applications to improve the efficiency of BI teams and Product Managers. Collaborate with scientists to create fast and efficient algorithms that exploit rich data sets for optimization, statistical analysis, prediction, clustering, and machine learning. Improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers. Ensure data stores are secure and compliant, working with Privacy and compliance teams. Basic Qualifications
5+ years of data engineering experience Experience with data modeling, warehousing and building ETL pipelines Experience with SQL Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS Experience mentoring team members on best practices Preferred Qualifications
Experience with big data technologies such as Hadoop, Hive, Spark, EMR Experience operating large data warehouses Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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