Data Engineer - Streaming Analytics & AWS Data Pipelines

Prime Video & Amazon MGM Studios

Seattle (WA)

On-site

USD 132,100 - 178,800

Full time

14 days+

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Job summary

Prime Video Data Engineer in PV Commerce Analytics based in Seattle, WA will design and implement scalable data pipelines that ingest data from Video Commerce, Digital Commerce, Prime, and Device Platform teams. You will build data products in a large data warehouse environment to serve 50+ downstream teams for reporting, analytics, and ML.

You will leverage AWS tools (Redshift, EMR, S3, Glue, Kinesis) and Andes Data Lake to enable data-driven decisions for Prime Video.

Qualifications

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.

Responsibilities

Design complex data pipelines and models powering subscription, transaction, and device registration datasets.
Deliver scalable data solutions on native AWS infrastructure.
Develop data quality validation frameworks and monitoring solutions ensuring data integrity and timeliness.
Build and optimize batch and near real-time processing workflows using Spark, Redshift, and Andes.
Create robust orchestration and monitoring for workflows with complex dependencies.
Collaborate with cross-functional teams to onboard new data sources.