Data Engineer II: Scale AI-Driven Data Platforms

Amazon Inc.

Culver City (CA)

On-site

USD 132,000 - 179,000

Full time

9 days ago

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Job summary

Amazon.com Services LLC is seeking a Data Engineer to join the Creator Services Data & Tech team in Culver City, CA. You will design and build robust ETL/ELT pipelines, curate data models, and own data platform components to empower analytics and AI initiatives across Amazon's creator ecosystem.

The role emphasizes production-grade data systems, collaboration with BI engineers and stakeholders, and applying AWS technologies like Redshift, S3, Glue, and Lambda to scale data products.

Qualifications

  • 3+ years of data engineering experience.
  • Bachelor's degree.
  • 3+ years of data warehouse architectures, data modeling, ETL/ELT and reporting/analytic tools, and hands-on SQL coding.
  • Experience with database, data warehouse or data lake solutions.

Responsibilities

  • Design, build, and maintain production-grade ETL/ELT pipelines that process data at scale with high reliability and performance.
  • Architect and curate data models, warehouses, and dimensional schemas that serve self-service analytics and AI initiatives.
  • Drive end-to-end ownership of data platform components from design to deployment and incident response.
  • Leverage AWS services to build scalable and cost-efficient data platforms.
  • Translate data needs into technical solutions with cross-functional stakeholders.

Skills

SQL
ETL/ELT
Data modeling
Data warehousing

Education

Bachelor's degree

Tools

Redshift
S3
Glue
Lambda
ECS

Job description

Amazon.com Services LLC is seeking a Data Engineer to join the Creator Services Data & Tech team in Culver City, CA. You will design and build robust ETL/ELT pipelines, curate data models, and own data platform components to empower analytics and AI initiatives across Amazon's creator ecosystem.

The role emphasizes production-grade data systems, collaboration with BI engineers and stakeholders, and applying AWS technologies like Redshift, S3, Glue, and Lambda to scale data products.

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