*Data Engineering Interview* 🚀 Tech Round 1 • DSA (Arrays, Strings): 1- 2 questions (easy to medium level) • SQL: Answered 3-5 SQL questions, working with complex queries. • Spark Fundamentals: Discussed core concepts of Apache Spark, including its role in big data processing. 🚀 Tech Round 2 • DSA (Arrays, Stack): Worked on problems related to arrays and stack, demonstrating my algorithmic thinking and problem-solving skills. • SQL: Tackled advanced SQL queries, focusing on query optimization and data manipulation techniques. • Spark Internals: Delved into Spark's internal workings and how it scales for large datasets. 🚀 Hiring Manager Round • Data Modeling: Designed a data model for Uber and discussed approaches to managing real-world scenarios. • Team Dynamics & Project Management: Engaged in scenario-based questions, showcasing my understanding of team collaboration and project management. • Previous Project Experiences: Highlighted my contributions, challenges faced, and the impact of my work in past projects. 🚀 HR Round • Work Culture: Discussed salary, benefits, and growth opportunities, work culture, and company values.