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Business Intelligence Engineer III

Business Intelligence Engineer III

CompanyChewy
LocationBellevue, WA, USA
Salary$134500 – $215000
TypeFull-Time
DegreesBachelor’s
Experience LevelSenior, Expert or higher

Requirements

  • Candidate must possess a Bachelor’s degree in Computer Science, or related field, or equivalent experience
  • 7+ years of experience with detailed knowledge of BI data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools
  • 5+ years of experience with BI/visualization tools like Tableau/BO/OBIEE etc.
  • 3+ years of work experience in building self-serve BI solutions, canned reports and enterprise level BI solutions
  • 3+ years of experience with data modeling in large Data warehousing, data lake environment
  • 3+ years of medium to advanced object-oriented programing on Python or Java skills on industry projects
  • 2+ years of data science experience with building regression, classification models
  • Exposure to Big Data stack environments (EMR, Hadoop, MapReduce, Hive)
  • Good analytical skills with excellent knowledge of SQL and advance SQL
  • Excellent communication skills, both written and verbal
  • Experience with A/B Testing & Optimization techniques

Responsibilities

  • Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data models, reports/dashboards/BI solutions for analytics and deep learning
  • Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes
  • Provide on-line reporting and analysis using business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources
  • Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture
  • Produce comprehensive, usable data set documentation, metadata, BI reports, Dashboards and insights

Preferred Qualifications

  • Experience in gathering requirements and formulating business metrics for reporting
  • Experience building on AWS QuickSight, ElasticCache etc
  • Experience with statistical models and building predictive models from scratch
  • Experience with building NLP and sentiment analysis