The Alexa Echo Device Team is looking for a talented, highly motivated Data Engineer to join our Business Intelligence team. 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 world's 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.

Basic Qualifications

• 3+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL
• Experience in Kafka, or experience in any Bigdata architecture and experience in Hive/Spark/Hbase/Yarn

Preferred Qualifications

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, Fire Hose, 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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