Data Engineer, Amazon

• 3+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL

Desirable

• Join our Alexa Audio Data and Insights team as a Data Engineer, and lead futuristic big data initiatives that will shape the next generation of intelligent, conversational experiences
• In this role, you'll work at the intersection of disruptive AI technologies and real-world impact, making a difference for millions of customers
• You'll collaborate with a team of passionate professionals who are as excited about innovation as you are, and together, you'll push the boundaries of what's possible with Alexa+
• As a Data Engineer, you'll drive the development of data pipelines and automation to process massive datasets for our next-generation Audio features powered by advanced AI technologies
• You'll work closely with cross-functional teams, including product management, design, engineering, Business Intelligence, and data science
• You'll also lead the integration of these advanced AI systems into Alexa Audio's core capabilities, ensuring a seamless and intuitive user experience
• Work closely with data scientists, BI, and engineers to create robust data architectures and pipelines
• Develop and manage scalable data pipelines to extract, transform, and load data from various sources
• Collaborate with stakeholders to understand business requirements and translate them into data-driven solutions
• Automate data processing and reporting workflows to improve efficiency and data integrity
• Implement data quality checks and monitor processes to maintain high data accuracy
• Simplify and enhance the accessibility, clarity, and usability of large and complex datasets through the development of data cubes and data sharing solutions
• Develop and manage scalable, automated, and fault-tolerant data solutions using technologies such as Spark, EMR, Python, Redshift, Glue, and S3