Sr. Business Intelligence Engineer, AWS Analytics Engineering

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform, pioneering cloud computing.
$117,300 - $202,800
Data
Senior Software Engineer
In-Person
5,000+ Employees
8+ years of experience
AI · Enterprise SaaS · Cloud

Description For Sr. Business Intelligence Engineer, AWS Analytics Engineering

AWS Analytics Engineering (AAE) team is seeking a Senior Business Intelligence Engineer to join their innovative team working on foundational cloud services. This role offers an exceptional opportunity to work with massive datasets in one of the world's largest data warehouse environments, directly impacting crucial AWS services like EC2, S3, Amazon Q Developer, and more.

The position combines technical expertise with business acumen, requiring the development of scalable solutions, automated reporting systems, and self-service analytics capabilities. You'll be working at the intersection of data engineering and business intelligence, creating solutions that drive decision-making across AWS services.

As part of AWS Utility Computing (UC), you'll be supporting product innovations that form the backbone of AWS's cloud infrastructure. The role offers exposure to various domains including Compute, Database, Storage, IoT, and Platform services, making it an excellent opportunity for professional growth.

The team culture emphasizes knowledge-sharing, mentorship, and inclusive practices. AWS's commitment to diversity is reflected in employee-led affinity groups and ongoing learning experiences. The company offers competitive compensation ($117,300-$202,800 based on location) plus equity and comprehensive benefits.

The ideal candidate will be a self-starter who thrives in fast-paced environments, possesses strong attention to detail, and excels at cross-functional collaboration. This role presents an opportunity to shape the future of cloud computing while working with cutting-edge technologies and some of the world's most complex data challenges.

Join a team that values continuous learning, embraces innovation, and offers clear paths for career advancement. Your work will directly impact how AWS services evolve and how customers worldwide leverage cloud computing solutions.

Last updated 5 hours ago

Responsibilities For Sr. Business Intelligence Engineer, AWS Analytics Engineering

  • Work with business customers in understanding requirements and implementing analytical solutions
  • Design and implement large scale reporting solutions
  • Design and implement robust data models for automated insights
  • Build analytical environment using reporting tools and metadata
  • Apply advanced analytical techniques for optimization
  • Define and drive team analytical strategy
  • Implement automation for maximum scale and self-service
  • Apply Gen AI, segmentation, and forecasting techniques
  • Mentor junior engineers

Requirements For Sr. Business Intelligence Engineer, AWS Analytics Engineering

Python
  • Bachelor's Degree in Information System, Computer Science, or related technical field
  • 8+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
  • 5+ years of experience with data visualization using Tableau, Quicksight, or similar tools
  • 5+ years of experience with data modeling, warehousing and building ETL pipelines
  • Experience with AWS technologies preferred
  • Experience in working with large-scale, complex datasets

Benefits For Sr. Business Intelligence Engineer, AWS Analytics Engineering

Medical Insurance
401k
Vision Insurance
Dental Insurance
Parental Leave
  • Full range of medical benefits
  • Financial benefits
  • Career growth opportunities
  • Mentorship programs
  • Knowledge-sharing environment

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