Data & Analytics Team

Role Overview: As a Senior Data Engineer (Architecture & Implementation) - Team Lead, your main responsibility is to lead technical architecture decisions for data platform modernization. You will also plan and execute the refactoring of core data pipelines from timer-based to event-driven orchestration. Additionally, you will be implementing subscription schema alignment between Chargebee and Shopify/Recharge. Collaboration with internal Data Engineers to improve platform scalability and performance will be a crucial part of your role. Furthermore, you will define and enforce naming conventions, coding standards, and best practices to ensure the efficiency and effectiveness of the data platform. Key Responsibilities: - Lead technical architecture decisions for data platform modernization. - Plan and execute refactoring of core data pipelines from timer-based to event-driven orchestration. - Implement subscription schema alignment between Chargebee and Shopify/Recharge. - Collaborate with internal Data Engineers to improve platform scalability and performance. - Define and enforce naming conventions, coding standards, and best practices. Qualifications Required: - 5+ years of experience in Data Engineering. - Expert-level Python programming skills. - Deep hands-on experience with dbt. - Proficiency with ELT tools (Meltano, Airbyte, or dltHub). - Strong SQL and database design expertise. - Experience with Google Cloud Platform (BigQuery, Cloud Storage, Cloud Composer). - Proficient in Git/GitHub for version control. - Experience with API integrations and building custom connectors. - Knowledge of dimensional modeling and Kimball methodology.,