Amazon Data Engineer - PubTech Insights & Analytics Amazon 

United States, Washington, Seattle 

553616166

As a Data Engineer, you will to build a reliable and efficient data platform to support Analytics and intuitive data products that allow our stakeholders to easily leverage data in a efficient and self-service manner. As part of this team, you will work on diverse data technologies such as Spark, Iceberg, Kafka, and various other AWS technologies to build a scalable and robust data platform supporting Analytics and Experimentation. You will own creating end-to-end data pipelines that consolidate large data sets across various disparate systems and combine them into easily consumable data sets that drive actionable insights for your customers.Key job responsibilities
- Lead, design, and implement Data Pipelines from the ground up utilizing native AWS technologies.
- Build robust and scalable end-to-end data pipelines to support Analytics and Science Products
- You have an eye for detail and like to spark joy amongst your cross-functional partners with well-documented high-quality data products that are modeled and easy to understand.

- Bachelor's degree
- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with Redshift, Oracle, NoSQL etc.
- Experience with SQL
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

- Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam
- Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent