Role Overview
As an Analytics Engineer, you will bridge the gap between data engineering and analytics by building clean, tested, and documented data models.
What You Will Do
Design and implement robust data models using dbt to transform raw data into actionable insights. Write and optimize complex SQL queries to ensure high-performance data processing across Snowflake or BigQuery environments.
Why It Might Be a Fit
We are looking for 4+ years of experience in Analytics Engineering, Data Engineering, or a related field, with proven expertise in data modeling and building clean, tested, and documented data models.
Requirements
- 4+ years of experience in Analytics Engineering, Data Engineering, or a related field
- Proven expertise in data modeling and building clean, tested, and documented data models
- Proficiency in SQL and experience working with data warehouses such as Snowflake or BigQuery
- Hands-on experience using dbt to transform data and bridge the gap between engineering and analytics
- Advanced proficiency in English
Benefits
- 100% remote work (from anywhere)
- Excellent compensation in USD or your local currency if preferred
- Hardware and software setup for you to work from home
- Flexible hours: create your own schedule
- Paid parental leaves, vacations, and national holidays
- Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent
- Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities
To apply for this job please visit linkedin.com.
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