Sorry, this listing is no longer accepting applications. Don’t worry, we have more awesome opportunities and internships for you.

Data Engineer (No C2C, No Visa Sponsorship)

Compass Tech International

Data Engineer (No C2C, No Visa Sponsorship)

Bellevue, WA
Full Time
Paid
  • Responsibilities

    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.
  • Industry
    Manufacturing