Job Overview:
The focus is on setting up and maintaining structured data pipelines for the Montessori Gym’s omnichannel ecosystem. This role involves designing data architecture, integrating multiple platforms, and enabling efficient data-driven decision-making.
Job Description:
- Design and implement data structures in BigQuery and other cloud-based environments.
- Integrate data from multiple sources, including CRM, Learning Management System (LMS), Google Spreadsheets, and ad platforms like TikTok, Meta, and Google Ads.
- Develop APIs and automation processes to streamline data flow across existing systems.
- Build and maintain dashboards using services like Metabase, Superset, Google Data Studio, or similar tools.
- Optimize raw data storage and transformation to support advanced manual analysis.
- Ensure data accuracy, security, and compliance across all touchpoints.
Job Requirements:
- 1-3 years of experience in data engineering, cloud computing, or related roles.
- Understand and can implement data engineering best practices.
- Hands-on experience with Google Cloud Platform (GCP) or similar cloud providers.
- Strong understanding of BigQuery, Big Data processing, and ETL pipelines.
- Experience working with APIs and integrating multiple data sources.
- Proficiency in SQL, Python, or other relevant scripting languages.
- Familiarity with data visualization tools like Metabase, Superset, or Google Data Studio.
- Ability to work independently and structure data ecosystems from scratch.