Data Engineer: Scalable ETL & AWS Data Pipelines

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

Job summary

Amazon in Seattle, WA is seeking a Data Engineer to design, implement, and support scalable data infrastructures. You will work in a large data warehouse environment, building pipelines to ingest, transform, and provide data for reporting, analytics, and ML models.

You will collaborate with product teams, data scientists, and BI engineers, leveraging AWS services and modern programming languages to deliver reliable data solutions in a fast-paced environment.

Qualifications

• 3+ years of data engineering experience
• Experience with data modeling, warehousing and ETL pipelines
• Experience building/operating highly available, distributed data systems
• Proficiency in Python, Java, Scala, or NodeJS

Responsibilities

• Design and develop data pipelines for extraction, transformation, and loading from diverse sources using SQL, Python and AWS big data technologies.
• Oversee production operations, optimize data delivery, and coordinate code deployments and releases.
• Establish and maintain best practices for data integration design, development and documentation.
• Collaborate with Product teams, Data Scientists, Software developers and BI Engineers to explore new data sources.
• Read, write, and debug data processing code in Python/Scala following best coding standards.

Skills

Data engineering

Data modeling

ETL pipelines

Distributed systems

Python/Java/Scala/NodeJS

Tools

AWS Redshift

AWS S3

AWS Glue

AWS EMR

AWS Kinesis

AWS Firehose

AWS Lambda

IAM roles & permissions

Job description

Amazon in Seattle, WA is seeking a Data Engineer to design, implement, and support scalable data infrastructures. You will work in a large data warehouse environment, building pipelines to ingest, transform, and provide data for reporting, analytics, and ML models.

You will collaborate with product teams, data scientists, and BI engineers, leveraging AWS services and modern programming languages to deliver reliable data solutions in a fast-paced environment.