Demo

Data Engineer (No C2C, No Visa Sponsorship)

Compass Tech International
Bellevue, WA Full Time
POSTED ON 3/3/2025
AVAILABLE BEFORE 6/2/2025

Job Description

Job Description

Business Intelligence Engineer II

Bellevue, WA

No C2C

No Visa Sponsorship

Key Responsibilities :

  • Develop complex queries for ad hoc requests and projects, as well as ongoing reporting.
  • Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs
  • Design, implement, and support key datasets that provide structured and timely access to actionable business information addressing stakeholder needs.
  • Interface directly with stakeholders, gathering requirements and owning automated end-to-end reporting solutions.
  • Partner with analysts, data engineers, business intelligence engineers, and software development engineers across Amazon to produce complete data solutions.
  • Simplify and automate reporting, audits, and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders.
  • Proficiency with SQL queries to retrieve and analyze data. Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use.
  • Estimate models, write analyses, and extract insights and provide business recommendations.

Qualifications :

  • 3 years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.
  • Experience with data visualization using Tableau, Quicksight, or similar tools.
  • Experience with data modeling, warehousing, and building ETL pipelines.
  • Experience in Statistical Analysis packages such as R, SAS and Matlab.
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
  • Preferred Qualifications :

  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets.
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