Data Engineer II — Real-Time Analytics on AWS & Big Data

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

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Sign-on payments

RSUs

Job summary

Amazon.com Services LLC is hiring a Data Engineer II to build and operate large-scale data structures for analytics and deep learning in a high-volume data environment.

The role emphasizes real-time and batch data ingestion, ETL/ELT best practices using AWS and big data tools, and an end-to-end development lifecycle. Mentoring junior data engineers is also part of the role. Onsite location in Seattle, WA.

Qualifications

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

Responsibilities

• Design, develop, implement, test, and operate large-scale, high-volume data structures for analytics and deep learning.
• Build real-time and batch data ingestion routines using data modeling and ETL/ELT best practices with AWS and big data tools.
• Collect business and functional requirements and translate them into robust, scalable, operable solutions aligned with the overall data architecture.
• Analyze source data systems and drive best practices within source teams.
• Own the end-to-end development lifecycle, including design, implementation, testing, documentation, delivery, support, and maintenance.
• Create comprehensive, usable dataset documentation and metadata.
• Evaluate and decide on dataset implementations proposed by peer data engineers.
• Evaluate and decide on the use of new or existing software products and tools.
• Mentor junior data engineers

Skills

Data engineering

Data modeling

Data warehousing

ETL pipelines

Mentoring

Tools

AWS

Amazon Redshift

Hive

Apache Spark

Amazon EMR

RDBMS

Amazon S3

AWS Glue

Amazon Kinesis

Kinesis Firehose

AWS Lambda

IAM

Job description

Amazon.com Services LLC is hiring a Data Engineer II to build and operate large-scale data structures for analytics and deep learning in a high-volume data environment.

The role emphasizes real-time and batch data ingestion, ETL/ELT best practices using AWS and big data tools, and an end-to-end development lifecycle. Mentoring junior data engineers is also part of the role. Onsite location in Seattle, WA.