Amazon Data Engineer Alexa Devices Sales & Marketing 

United States, Washington, Bellevue 

342164063

Key job responsibilities
* Work with the product and development teams within Alexa Mobile 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 Mobile 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.
Bellevue, WA, USA

- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience with Apache Spark / Elastic Map Reduce

- 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)
- Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam
- Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
- Experience providing technical leadership and mentoring other engineers on best practices pertaining to data engineering