Company Description Superfan.ng is an edtech learning platform focused on African languages and cultural knowledge. The platform uses a gamified, quiz-first experience to help learners deepen their understanding of African proverbs, traditions, rites of passage, festivals, folklore, and customs. Designed for Africans and the global diaspora, Superfan.ng aims to make cultural education engaging, accessible, and relevant. Team members contribute to building tools that celebrate and preserve African heritage through technology. Role Description The Lead Data Engineer will design, build, and maintain scalable data infrastructure to support Superfan.ng’s learning platform and analytics capabilities. This full time remote role involves leading the development of data pipelines, owning ETL processes, and optimizing data models and warehousing solutions for performance and reliability. The Lead Data Engineer will collaborate with product, engineering, and analytics teams to translate business requirements into robust data architectures and ensure high-quality, well-governed data. Day-to-day responsibilities include mentoring other data professionals, implementing best practices for data security and compliance, monitoring data workflows,



and driving continuous improvement in the data engineering stack to support product insights and user engagement metrics. Qualifications
• Candidates should possess strong Data Engineering skills, including building and maintaining data pipelines and integrating multiple data sources.
• Candidates should possess solid Data Modeling and Data Warehousing skills for designing scalable schemas and managing analytical data stores.
• Candidates should possess hands-on experience with Extract Transform Load (ETL) processes and Data Analytics to enable reliable reporting and insights.
• Proficiency with modern data engineering tools and technologies (e.g., SQL, Python or similar languages, cloud data platforms, orchestration frameworks) is beneficial.
• Experience leading data projects, setting technical standards, and mentoring team members is preferred.
• Background in edtech, consumer apps, or content platforms, and familiarity with African markets or cultures, is an advantage.
• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.
• Ability to work effectively in a remote, cross-functional team environment, with strong communication and documentation skills.

📌 Lead Data Engineer (India)
🏢 Superfan NG
📍 India