1 день назад
BI Engineer (Data Warehousing)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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 (); onsite role
Company
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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