Data Engineer - AWS Marketing Analytics

Socket.dev; Seattle (WA); On-site; USD 101,000 - 160,000; Full time

Job summary

Amazon in Seattle, WA seeks a Data Engineer to join a large data warehousing environment focused on AWS Marketing data. You will integrate heterogeneous sources, design scalable pipelines, and deliver reports for business owners.

The role emphasizes end-to-end data flow, from production systems to end-user reporting, with a passion for big datasets. You will work across teams to build robust data pipelines, model data structures, and enable self-service analytics for internal customers and

Qualifications

• 1+ years of data engineering experience.
• Experience with data modeling, warehousing and ETL pipelines.
• Experience with one or more query languages (SQL variants).
• Experience with one or more scripting languages (Python, etc.).

Responsibilities

• Design, implement, and support a platform providing ad-hoc access to large datasets.
• Interface with other teams to extract, transform, and load data from diverse sources using SQL.
• Build ETL pipelines using SQL, Python and AWS services like Data Pipelines, Glue.
• Implement data structures using data modeling, ETL/ELT processes, and SQL/Redshift.
• Interface with business customers, gathering requirements and delivering reporting solutions.
• Deliver high-quality datasets to support analyst and customer reporting.
• Improve reporting and analysis processes, automating self-service for customers.

Skills

Data engineering

Data modeling

SQL

Python

Tools

AWS Redshift

AWS Glue

S3

EMR

Hive

Spark

Job description

Amazon in Seattle, WA seeks a Data Engineer to join a large data warehousing environment focused on AWS Marketing data. You will integrate heterogeneous sources, design scalable pipelines, and deliver reports for business owners.

The role emphasizes end-to-end data flow, from production systems to end-user reporting, with a passion for big datasets. You will work across teams to build robust data pipelines, model data structures, and enable self-service analytics for internal customers and