Data Engineer, PV Commerce Analytics

Relha LLC; New York (NY); On-site; USD 145,000 - 197,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

RSU/Stock options

Job summary

Amazon is seeking a Data Engineer for Prime Video Commerce Analytics to design scalable data infrastructure and pipelines. You will ingest data from multiple sources and support 50+ downstream teams for reporting, analytics, ML models, and ad-hoc requests.

You will work in a large, complex data warehouse environment using Redshift, Spark, Andes Data Lake, and native AWS services to enable data-driven decisions across Prime Video.

Qualifications

• 3+ years of data engineering experience.
• Experience with data modeling, warehousing and ETL pipelines.
• Experience with SQL.

Responsibilities

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

Skills

Data engineering

SQL

Data modeling

ETL pipelines

Tools

Redshift

S3

AWS Glue

EMR

Kinesis

Firehose

Lambda

IAM roles

Spark

Andes Data Lake

Job description

Amazon is seeking a Data Engineer for Prime Video Commerce Analytics to design scalable data infrastructure and pipelines. You will ingest data from multiple sources and support 50+ downstream teams for reporting, analytics, ML models, and ad-hoc requests.

You will work in a large, complex data warehouse environment using Redshift, Spark, Andes Data Lake, and native AWS services to enable data-driven decisions across Prime Video.