Responsibilities 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. Apply software engineering best practices to data transformation, including version control, testing, and documentation. Collaborate with data engineers to streamline ingestion and with analysts to define key business metrics and dimensions. Maintain and improve the data warehouse architecture to support scalable and reliable reporting and analytics. Qualifications 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 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. #J-18808-Ljbffr