The Alexa Echo Device Team is looking for a talented highly motivated Data Engineer to join our Business Intelligence team. Alexa is the groundbreaking cloud-based intelligent agent that powers Echo and other devices designed around your voice. We provide actionable business insights that inform future products and services that will power the next generation of Echo and Alexa devices. As a Senior Data Engineer you will work in one of the worlds largest and most complex data warehouse environments. You will work closely with Product Management Software Development Data Science and other Data Engineering teams to develop scalable and innovative analytical solutions process and store terabytes of low latency structured and unstructured data and enable the Echo Device team to build successful data driven strategies. You will be responsible for designing and implementing an analytical environment using third-party and in-house tools and using Python Scala or Java to automate the ETL analytics and data quality platform from the ground up. You will design and implement complex data models model metadata build reports and dashboards and own data presentation and dashboarding tools for the end users of our data products and systems. You will work with leading edge technologies like Redshift EMR Hadoop/Hive/Pig and more. You will write scalable highly tuned SQL queries running over billions of rows of data and will develop learning and training programs to drive adoption of data driven decision making across the Echo and Alexa organization. You should have deep expertise in the design creation management and business use of large datasets across a variety of data platforms. You should have excellent business and interpersonal skills to be able to work with business owners to understand data requirements and to implement efficient and scalable ETL solutions. You should be an authority at crafting implementing and operating stable scalable low cost solutions to replicate data from production systems into the BI data store.
Key job responsibilities
* Work with the product and development teams within Alexa org to understand the product vision and requirements.
* Work with Product Managers BI engineers and Software Engineers to design implement and support high quality data products.
* Partner with other teams across Alexa to ingest relevant datasets into the Alexa Devices BI data-warehouse.
* Collaborate with other data engineers within the team to build a data platform that is self-service and possesses key capabilities like data discovery data lineage proactive data monitoring and security/compliance monitoring.
* Leverage and manage AWS services like Bedrock Sagemaker S3 Redshift Athena Kinesis Lambda Data Lake etc..
* Conduct workshops and lunch-n-learn sessions to educate customers on product capabilities.
About the team
- 3 years of data engineering experience
- Experience with SQL
- Experience with data modeling warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118900/year in our lowest geographic market up to $205600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.