Amazons Devices Economic Value team enables measurement and optimization of Amazon Devices long-term value to help Amazon build better products for their customers. Delivering lasting value to customers is in Amazons DNA and we are at the core of how the Devices business prioritizes its investments in innovation and optimization on behalf of customers.
Join us to be a part of the team that is at the core of understanding how Amazon Devices drive deeper customer engagement and helps the business make decisions about how to optimize and balance between short term monetization and long term value creation for Amazon Device users. We are seeking a skilled Data Engineer to build the future of long-term Marketing Measurement for Devices and Services to help the business optimize how it spends its marketing budgets across programs.
Key job responsibilities We are looking for a talented Data Engineer to design build and maintain complex data solutions for Amazon Devices new Marketing Mix Models. The Data Engineer will be responsible for evolving the MMM data infrastructure with a focus on scalable maintainable and efficient solutions. In addition the Data Engineer: - Actively participates in the code review process design discussions planning and operational excellence - Makes appropriate tradeoffs re-use when possible and will be judicious about introducing dependencies - Knows about recent advances in distributed systems (MapReduce MPP Architectures External Partitioning etc.) - Asks correct questions when data model and requirements are not well defined and comes up with designs which are scalable maintainable and efficient - Makes enhancements that improve teams data architecture making it better and easier to maintain (e.g. data auditing solutions automating ad-hoc or manual operation steps) - Owns the data quality of important datasets and any new changes/enhancements
A day in the life You are a curious engineer looking for a career where youll be able to innovate fast deliver and influence. You love delivering high-quality software products and services at large scale. You have expertise solving problems using software systems AWS tools and working together as a team to constantly improve.
About the team DEV Science teams mission is to drive measurement and optimization of long term economic value of the devices business that balances short term and long term tradeoffs across product lifecycle and drive clear value for Amazon shoppers. We leverage science advancements across causal inference structural modeling and machine learning to solve challenging business problems in Amazon Devices.
- 3 years of data engineering experience - Experience with data modeling warehousing and building ETL pipelines - Experience with SQL
- 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)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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