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1 день назад

BI Engineer (Data Warehousing)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
BI Engineer (Data Warehousing): Building scalable data models, dashboards, reports, and data pipelines for a digital marketplace for used vehicles with an accent on SQL, ETL/ELT, visualization, and cloud-based data architecture. Focus on transforming large datasets, designing A/B tests, developing predictive models, and improving data quality and analytical capabilities.

Location: US - IN - Carmel (hirify.global); onsite role

Company

hirify.global operates a digital marketplace for used vehicles and provides data-driven tools that help customers buy and sell more effectively.

What you will do

  • Own the Business Intelligence domain by surfacing insights, solving problems, and supporting data-driven decisions.
  • Partner with Product, Sales, Operations, Data Engineering, and senior leadership stakeholders.
  • Transform large datasets with SQL and scripting languages to generate business insights.
  • Design, execute, and analyze A/B tests and other experiments.
  • Build scalable data models, dashboards, reports, predictive models, and trend analyses.
  • Improve data pipelines, infrastructure, analytical capabilities, and data-driven practices while mentoring colleagues.

Requirements

  • 2+ years of experience in Data Warehousing and Business Intelligence.
  • Advanced SQL skills and experience with relational databases such as Snowflake, Redshift, Oracle, or SQL Server.
  • Strong experience with ETL/ELT development and data pipeline management.
  • Proficiency in scripting languages such as Python, JavaScript, Java, or Scala.
  • Strong foundation in data modeling, governance, dataset structuring, visualization, dashboarding, and advanced spreadsheets.
  • Self-starter with strong problem-solving and strategic thinking skills.

Nice to have

  • Experience with Looker or Domo.
  • Understanding of cloud-based data architectures and security best practices.
  • Experience creating and implementing data governance strategies.
  • Background in data science or machine learning applications.
  • Familiarity with API integrations and automation techniques.

Culture & Benefits

  • Medical, dental, and vision benefits with employer HSA contributions and FSA options in the US.
  • Immediately vested 401(k) with company match in the US or RRSP with company match in Canada.
  • Paid vacation, personal, and sick time, plus paid maternity and paternity leave in the US.
  • Employer-paid disability, life insurance, AD&D coverage, and an Employee Assistance Program.
  • Tuition reimbursement, volunteer opportunities, internal promotions, and opportunities for career advancement.

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