Data Analytics Engineer
dv01Full Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates should have experience in marketplace ecosystems and a passion for transforming raw data into actionable, scalable solutions. A Bachelor's degree in a relevant field is likely required, along with experience working with large-scale, session-level customer and event data. Experience with dbt, Redshift, PostgreSQL, and reverse ETL workflows is also expected.
The Data Engineer will build, optimize, and maintain dbt-based data transformation pipelines in Redshift and PostgreSQL. They will develop and manage data integration pipelines, including reverse ETL workflows, to connect cleaned data to martech tools. The role involves working with large-scale customer and event data to enable user journey analysis, attribution modeling, and behavioral analytics, ultimately tying behavioral and web metrics to revenue and retention.
Digital solutions for entertainment production management
Cast & Crew provides a range of digital solutions tailored for the entertainment industry, focusing on production management for film, television, and live events. Their tools help streamline administrative tasks such as payroll, human resources, and production management, making it easier for production companies, studios, and independent filmmakers to operate efficiently. The company's offerings include payroll management tools, purchase order management, screenwriting software, and digital onboarding solutions, all designed to simplify complex processes. Unlike many competitors, Cast & Crew emphasizes a comprehensive suite of services that integrate various aspects of production management, ensuring accurate and timely payments, efficient document handling, and insightful data reporting. The goal of Cast & Crew is to enhance the operational efficiency of entertainment productions while supporting the industry, including initiatives for the Canadian entertainment sector.