Company Description PPStack is a global EdTech brand focused on reimagining the future of education by empowering students, professionals, and organizations with digital-era skills. The company combines artificial intelligence, contemporary technology, and innovative teaching methods to deliver smarter, faster, and more impactful learning experiences. Its mission is to bridge the gap between education and industry through future-ready skills, digital empowerment, and career transformation opportunities. PPStack offers AI-powered learning platforms, crash courses, corporate training, career coaching, digital branding, technology consulting, and e-learning solutions, creating an ecosystem where education fuels innovation and careers thrive. The organization is trusted by learners worldwide and is dedicated to driving transformation in education, careers, digital growth, and technology innovation. Role Description This is a full-time remote role for a Data Engineer at PPStack. The Data Engineer will design, build, and maintain scalable data pipelines that support AI-powered learning platforms, analytics, and reporting needs. Typical responsibilities include developing and optimizing ETL processes, implementing data models, and managing data warehousing solutions to ensure reliable, high-quality data for product and business teams. The role involves collaborating with data analysts, engineers, and product stakeholders to understand data requirements, improve data accessibility,



and support data-driven decision-making across the organization. The Data Engineer will also monitor data infrastructure performance, troubleshoot issues, and contribute to continuous improvement of data architecture and best practices. Qualifications
• Strong Data Engineering skills, including building and maintaining data pipelines and working with large-scale data systems.
• Proficiency in Data Modeling and Data Warehousing to design efficient, scalable structures for analytics and reporting.
• Hands-on experience with Extract Transform Load (ETL) processes and tools to integrate and transform data from multiple sources.
• Applied Data Analytics skills to support business intelligence, dashboards, and data-driven insights.
• Experience with SQL and at least one programming language commonly used in data engineering (e.g., Python, Scala, or Java).
• Familiarity with cloud data platforms (e.g., AWS, Azure, or GCP) and modern data infrastructure tools (e.g., Spark, Kafka, dbt, or similar).
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience.
• Ability to work independently in a remote setting, collaborate across diverse teams, and communicate complex technical concepts clearly.
• Experience in EdTech, AI-driven products, or educational data systems is a plus.

📌 Data Engineer (India)
🏢 PPStack
📍 India