Data Engineer

As a Data Engineer at Cuvette, you will be responsible for designing, building, and maintaining the data infrastructure that powers our platform. You will work closely with our product, analytics, and engineering teams to ensure that our data systems are scalable, reliable, and efficient. Key Responsibilities: - Design and implement data pipelines to extract, transform, and load data from various sources - Develop and maintain data warehousing and data lake solutions - Optimize database performance and ensure data integrity - Automate data processing and deployment workflows - Collaborate with cross-functional teams to identify and address data-related challenges - Stay up-to-date with the latest data engineering technologies and best practices Requirements: - 2-5 years of experience in data engineering or a related field - Strong proficiency in Python, SQL, and data processing frameworks (e.g., Apache Spark, Apache Airflow) - Experience with cloud-based data storage and processing services (e.g., AWS, GCP, Azure) - Familiarity with data modeling, ETL, and data warehousing concepts - Ability to write efficient, scalable, and maintainable code - Strong problem-solving and analytical skills - Good communication and collaboration skills

Cuvette is a leading education technology company that provides personalized learning solutions to students across India. We are committed to empowering the next generation of learners and helping them achieve their academic and career goals.