Senior BI Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior BI Engineer: Designing and maintaining scalable automated data pipelines and sophisticated dashboards to support business strategy with an accent on data modeling and performance optimization. Focus on building a single source of truth, mentoring junior engineers, and partnering with stakeholders to define KPIs.
Location: Remote (Global)
Company
is a global pioneer in research technology (ResTech) that operates the world’s largest programmatic marketplace for consumer insights.
What you will do
- Design and maintain scalable automated ETL/ELT data pipelines and robust data models.
- Develop sophisticated dashboards and reporting tools for executive leadership and analysts.
- Establish data governance practices, including documentation and metadata management.
- Audit and optimize SQL queries and dashboard performance for large datasets.
- Act as a technical consultant to non-technical departments to define KPIs.
- Lead code reviews and mentor junior engineers on modeling and visualization best practices.
Requirements
- 5+ years of experience in BI engineering, data engineering, or technical analytics.
- Expert-level SQL skills including complex joins and window functions.
- Deep practical experience with cloud data warehouses like Databricks, Snowflake, or BigQuery.
- Strong understanding of dimensional modeling and modern data stack tools like dbt.
- Expertise in at least one enterprise BI platform such as Tableau, Power BI, Looker, or Sigma.
- Bachelor’s or Master’s degree in a quantitative field.
Nice to have
- Experience with version control (Git) and CI/CD workflows.
- Knowledge of statistical analysis and machine learning concepts.
- Experience with Salesforce and the ResTech industry.
- Experience working in an Agile/Scrum environment.
Culture & Benefits
- Global, collaborative team environment focused on diversity and inclusion.
- Commitment to employee growth and trust, recognized as a Global Top 100 Most Loved Workplace.
- Opportunity to work on a large-scale platform with data from over 150 countries.
- Emphasis on accountability, honesty, and kindness in daily operations.
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