Data Engineer - Partner Experience (AWS Data Pipelines & AI)

Amazon; Seattle (WA); On-site; USD 132,000 - 179,000; Full time

Job summary

Amazon Prime Video is seeking a talented Data Engineer to enhance PCF Data's core data infrastructure by implementing AWS services to build data pipelines, improve data accuracy, reduce latency, increase service stability, and ensure compliance with Amazon-wide data regulations.

You will partner with Senior Data Engineers and SDE teams to design and maintain a Redshift-based data warehouse environment, migrate critical pipelines to serverless compute platforms, and contribute to AI enablement

Qualifications

• 3+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with SQL.
• Experience in Python, Perl, or another scripting language.

Responsibilities

• Writing clean, maintainable code that adheres to best practices.
• Leveraging AWS data processing services.
• Possessing broad knowledge of different data types and when to use them.
• Understanding data security and compliance standards to ensure alignment with company policies and regulations.
• Using GenAI to improve efficiency and accelerate delivery.

Skills

Data engineering

Data modeling

ETL pipelines

SQL

Python

Perl

Tools

Amazon Redshift

S3

AWS Glue

EMR

Kinesis

Firehose

Lambda

IAM roles

Job description

Amazon Prime Video is seeking a talented Data Engineer to enhance PCF Data's core data infrastructure by implementing AWS services to build data pipelines, improve data accuracy, reduce latency, increase service stability, and ensure compliance with Amazon-wide data regulations.

You will partner with Senior Data Engineers and SDE teams to design and maintain a Redshift-based data warehouse environment, migrate critical pipelines to serverless compute platforms, and contribute to AI enablement