Company Description PPStack is a global EdTech brand focused on reimagining the future of education by equipping students, professionals, and organizations with skills for the digital era. The company combines artificial intelligence, modern technology, and creative teaching methods to deliver smarter, faster, and more impactful learning experiences. PPStack’s mission is to bridge the gap between education and industry through future-ready skills, digital empowerment, and career transformation opportunities.
Its ecosystem spans AI-powered learning platforms, crash courses, corporate training, career coaching, digital branding, and technology consulting. PPStack is trusted by learners worldwide and is committed to driving transformation across education, careers, digital growth, and technology innovation.
Role Description This is a full-time remote role for a Senior Data Engineer at PPStack.
The Senior Data
Engineer will design, build, and maintain scalable data pipelines and ETL processes to support AI-powered learning platforms, analytics, and reporting across the organization. This role involves developing robust data models and data warehouses, optimizing data infrastructure, and ensuring data quality, integrity, and security.
The Senior Data
Engineer will collaborate with data analysts, data scientists, product teams, and engineering stakeholders to translate business requirements into technical solutions.
Responsibilities also include performance tuning, documentation, monitoring, and contributing to best practices and standards for data engineering within PPStack’s growing digital ecosystem.
Qualifications
- Candidates should possess strong Data Engineering skills, including building and maintaining data pipelines and working with modern data platforms and tools.
- Candidates should possess Data Modeling and Data Warehousing skills to design scalable schemas, dimensional models, and analytics-ready data stores.
- Candidates should possess Extract Transform Load (ETL) skills to develop, schedule, and optimize data ingestion and transformation workflows.
- Candidates should possess Data Analytics skills to support reporting, dashboards, and insights generation for business and product teams.
- Experience with SQL, Python or another programming language commonly used in data engineering, and cloud data services (e.g., AWS, Azure, or GCP) is highly beneficial.
- Background in big data frameworks (e.g., Spark, Kafka), orchestration tools (e.g., Airflow), and CI/CD for data pipelines is an advantage.
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience.
- Strong problem-solving skills, attention to detail, ability to work independently in a remote setup, and effective communication with cross-functional teams.
📌 Senior Data Engineer (India)
🏢 PPStack
📍 India