Data Engineer - Real-Time Data & AI Infrastructure

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

Job summary

Amazon.com Services LLC is seeking a Data Engineer to design and implement robust data pipelines and infrastructure powering data-driven decisions and AI capabilities. You will work on enterprise-scale processing, real-time and batch, with secure storage and privacy-compliant access.

You will collaborate with software engineers, product managers, and scientists to create data products, mentor others, and advance data governance. Growth in cloud, big data, and ML infrastructure awaits.

Qualifications

• 3+ years of data engineering experience.
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle

Responsibilities

• Design and implement ETL/ELT pipelines for large-scale data operations.
• Establish data governance with security controls and privacy-compliant architectures.
• Drive real-time and batch data solutions for analytical workloads and AI/ML applications.
• Lead design reviews and mentor on data engineering best practices.
• Build data quality frameworks with monitoring and validation.
• Drive adoption of new technologies to improve data infrastructure and efficiency.

Skills

Data engineering experience

Tools

SQL

Oracle

AWS Redshift

S3

AWS Glue

EMR

Kinesis

Firehose

Lambda

IAM

Job description

Amazon.com Services LLC is seeking a Data Engineer to design and implement robust data pipelines and infrastructure powering data-driven decisions and AI capabilities. You will work on enterprise-scale processing, real-time and batch, with secure storage and privacy-compliant access.

You will collaborate with software engineers, product managers, and scientists to create data products, mentor others, and advance data governance. Growth in cloud, big data, and ML infrastructure awaits.