Senior Analytics Engineer - Marketing Data

📋 Description

• Design, develop, and maintain scalable data models, transformations, and materializations in
• Work hands-on with Google Analytics data in a production environment, ensuring that marketing data
• Develop, review, troubleshoot, and optimize SQL queries and Python code to improve data processing
• Analyze API documentation and translate endpoints, objects, fields, and identifiers into practical
• Implement and maintain data validation practices across multiple stages of data pipelines to ensure
• Apply Git-based development workflows, including version control, code reviews, testing, and CI/CD

🎯 Requirements

• At least 5 years of relevant professional experience in analytics engineering, data engineering
• Hands-on professional experience working with Google Analytics data in a business or production
• Professional experience supporting data initiatives within a retail or e-commerce environment.
• Advanced SQL skills, including experience designing fit-for-purpose data models, transformations
• Working proficiency in Python, with the ability to read, evaluate, debug, troubleshoot, and improve
• Experience interpreting API documentation and mapping API endpoints, objects, fields, and

🎁 Benefits

• Remote work: Work remotely from Anywhere, offering flexibility in your working environment.
• Long-term engagement: An opportunity to contribute to ongoing data engineering and marketing
• Technical impact: Work with modern data technologies, including Snowflake, SQL, Python, Google
• Business exposure: Collaborate with stakeholders to solve meaningful business challenges and
• Professional development: Strengthen your expertise in analytics engineering, data modeling