Data Engineer - Scalable ETL & Analytics Platform

Amazon Web Services (AWS); Seattle (WA); On-site; USD 132,100 - 178,800; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Web Services, Inc. seeks a Data Engineer to join the Marketing Analytics team in Seattle. You will build scalable data pipelines and warehouses to support BI reporting for AWS Marketing, using SQL and AWS services.

You will translate business questions into datasets and deliver reliable analytics to enable data-driven decisions. Join a large, dynamic data warehousing environment focused on turning big data into actionable insights.

Qualifications

• Bachelor's degree required. Strong data engineering background with ETL/ELT and data modeling experience.
• Experience designing and operating large-scale data structures for BI analytics using SQL and OLAP technologies.
• Preferred: AWS services like Redshift, S3, Glue, EMR, Kinesis and related tooling.

Responsibilities

• Design, implement, and support data pipelines and warehousing solutions for marketing analytics.
• Interface with business customers to understand requirements and deliver complete reporting solutions.
• Develop scalable data structures and reporting assets to drive insights and decision making.

Skills

Data engineering

ETL/ELT processing

SQL

Data modeling

OLAP analytics

Education

Bachelor's degree

Tools

Redshift

S3

AWS Glue

EMR

Kinesis

FireHose

Lambda

IAM

Job description

Amazon Web Services, Inc. seeks a Data Engineer to join the Marketing Analytics team in Seattle. You will build scalable data pipelines and warehouses to support BI reporting for AWS Marketing, using SQL and AWS services.

You will translate business questions into datasets and deliver reliable analytics to enable data-driven decisions. Join a large, dynamic data warehousing environment focused on turning big data into actionable insights.