Senior Data Engineer: AI-Driven Analytics Platform

Amazon

Seattle (WA)

On-site

USD 155,000 - 230,000

Full time

14 days+

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Job summary

Amazon in Seattle is seeking a Sr. Data Engineer to build a scalable data analytics platform for the Strategic Customer Engagements team. You will own end-to-end data pipelines, data models, and collaboration with BIEs, PMs, and business partners to translate problems into data products.

The role emphasizes leveraging AWS services and GenAI to enable near real-time data capabilities and scalable analytics for high-visibility projects across AWS commercial opportunities.

Qualifications

  • 5+ years of data engineering experience.
  • Experience with data modeling, warehousing and building ETL pipelines.
  • Experience with SQL.
  • Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS.
  • Experience mentoring team members on best practices.

Responsibilities

  • Build and maintain backend data infrastructure for analytical platforms and applications, ensuring data is clean, fresh, and optimized for downstream consumption.
  • Lead architectural improvements that simplify complex data systems and transformations and proactively address deficiencies that create bottlenecks in the data infrastructure.
  • Translate business problem statements into technical data requirements, partnering with BIEs and product management and stakeholders to define what data products to build.
  • Ensure data quality through monitoring, validation, auditing, and documentation of pipelines and data sources.
  • Leverage AWS services and GenAI to build next-generation data solutions that improve efficiency and unlock new analytical capabilities.
  • Build data pipelines purpose-built for LLM consumption and create data products and feature stores that serve GenAI applications in near real-time.
  • Lead design reviews for your team's data architecture and actively participate in design reviews of related software and data systems.

Skills

Data modeling
ETL pipelines
SQL
Programming languages
Mentoring

Tools

Hadoop
Hive
Spark
EMR

Job description

Amazon in Seattle is seeking a Sr. Data Engineer to build a scalable data analytics platform for the Strategic Customer Engagements team. You will own end-to-end data pipelines, data models, and collaboration with BIEs, PMs, and business partners to translate problems into data products.

The role emphasizes leveraging AWS services and GenAI to enable near real-time data capabilities and scalable analytics for high-visibility projects across AWS commercial opportunities.

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