Data Engineer, Amazon Appstore
Amazon.com
Amazon Appstore is responsible for providing delightful customer experiences across Amazon devices (FireTV, Tablets) with a vast selection of relevant apps, games, and services. The Appstore team is seeking an experienced Data Engineer to join our central Data Engineering and Analytics team. The role will be responsible for closely partnering with Software Development Engineers and Business Intelligence Engineers to build high quality data pipelines and manage Appstore wide central data lake. The Appstore Data Lake powers critical external customer (3P developer) facing reporting as well as self-service analytics for internal stakeholders. This is an exciting opportunity to work on very large datasets and influence products that impact tens of millions of customers on a daily basis.
Key job responsibilities
In this role, you will:
- Manage and administer data platform built on AWS services such as EC2, RDS, Redshift, Kinesis, EMR, Lambda etc
- Design and implement end-to-end data pipelines (ETL) to ensure efficient data collection, cleansing, transformation, and storage, supporting both real-time and offline analytics needs.
- Help continually improve ongoing reporting and analysis processes, simplifying self-service support for customers
- Contribute to Data Governance strategy for mitigating disparate data sources where applicable.
- Collaborate with cross-functional teams (e.g., Product, Operations, Engineering) to align data logic, integrate multi-source data (e.g., user behavior, transaction logs, AI outputs), and build a unified data layer.
Key job responsibilities
In this role, you will:
- Manage and administer data platform built on AWS services such as EC2, RDS, Redshift, Kinesis, EMR, Lambda etc
- Design and implement end-to-end data pipelines (ETL) to ensure efficient data collection, cleansing, transformation, and storage, supporting both real-time and offline analytics needs.
- Help continually improve ongoing reporting and analysis processes, simplifying self-service support for customers
- Contribute to Data Governance strategy for mitigating disparate data sources where applicable.
- Collaborate with cross-functional teams (e.g., Product, Operations, Engineering) to align data logic, integrate multi-source data (e.g., user behavior, transaction logs, AI outputs), and build a unified data layer.
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