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Data Engineer II, Davengers

Global technology and e-commerce company that leads in cloud computing, digital streaming, and artificial intelligence.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS

Description For Data Engineer II, Davengers

Amazon's Davengers team is seeking a Data Engineer II to join their innovative data platform initiative. This role sits at the intersection of business intelligence and machine learning, offering a unique opportunity to work with cutting-edge AWS technologies while building scalable data solutions. You'll collaborate with software developers, machine learning scientists, and business stakeholders to design and implement analytical infrastructure that powers both BI reporting and ML applications.

The position involves managing critical AWS resources, building sophisticated ETL pipelines, and implementing advanced analytics algorithms. You'll work closely with applied scientists to create data pipelines for machine learning models, while also partnering with Product Managers and Business Analysts to establish best practices in reporting and analysis.

This is an excellent opportunity for a data professional who wants to work at scale with AWS technologies like Redshift, EMR, and Spark, while contributing to a platform that drives both business insights and machine learning applications. The role offers exposure to the latest AWS technologies and the chance to work with rich datasets for statistical analysis, prediction, and clustering.

As part of Amazon's team, you'll benefit from working with world-class talent and have the opportunity to shape the future of data infrastructure that serves multiple business functions. The position requires strong technical skills in SQL and data engineering, combined with the ability to collaborate across teams and disciplines.

Last updated a day ago

Responsibilities For Data Engineer II, Davengers

  • Design, implement and support analytical data infrastructure for BI and ML applications
  • Manage AWS resources including EC2, Redshift, EMR-Spark
  • Collaborate with applied scientists to build data pipelines for ML models
  • Work with Product Managers and analysts on reporting best practices
  • Build ETL pipelines from various data sources using SQL and AWS technologies
  • Implement advanced analytics algorithms for statistical analysis and ML
  • Improve reporting processes and automate self-service support

Requirements For Data Engineer II, Davengers

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

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