Manager Data Engineering, ATS Science and Technology

at  Amazon EU SARL

• Experience managing a technical team
• Experience in processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution)
• Experience in relational database technology (such as Redshift, Oracle, MySQL or MS SQL)
• Experience in developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes)
• Experience communicating to senior management and customers verbally and in writing
• Experience leading and influencing the data or BI strategy of your team or organization
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
  Do you love building tools and data pipelines? Are you excited by the opportunity to create clear effective reports and data visualizations and collaborate with stakeholders to answer key business questions? Are you a leader who will manage a team of data engineers?
  If this describes you, consider joining us as an intern. Amazon interns have the opportunity to work alongside the industry’s brightest engineers, who innovate every day on behalf of our customers.

Key job responsibilities

• Lead a team of data engineers, provide career development and technical leadership
• Design and execute on the vision for data engineering in the network planning space
• Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources
• Design data schema and operate internal data warehouses and SQL/NoSQL database systems
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions
• Monitor and troubleshoot operational or data issues in the data pipelines
• Drive architectural plans and implementation for future data storage, reporting, and analytic solutions

About the team

We are a global science and tech team for developing cutting-edge optimization models for Amazon’s middle mile network. We are owning the entire lifecycle of tech products from idea to production-use and deploy our tools on a worldwide basis. Our team is composed of a wide variety of tech roles including scientists, data engineers and business intelligence engineers.

• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Experience with AWS Tools and Technologies (Redshift, S3, EC2)

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates

Key job responsibilities

• Lead a team of data engineers, provide career development and technical leadership
• Design and execute on the vision for data engineering in the network planning space
• Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources
• Design data schema and operate internal data warehouses and SQL/NoSQL database systems
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions
• Monitor and troubleshoot operational or data issues in the data pipelines
• Drive architectural plans and implementation for future data storage, reporting, and analytic solution

We are a global science and tech team for developing cutting-edge optimization models for Amazon’s middle mile network. We are owning the entire lifecycle of tech products from idea to production-use and deploy our tools on a worldwide basis. Our team is composed of a wide variety of tech roles including scientists, data engineers and business intelligence engineers.

• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Experience with AWS Tools and Technologies (Redshift, S3, EC2