A fresher aspiring to become a data engineer should possess a strong foundation in programming languages such as Python or Java and demonstrate proficiency in database management systems like SQL. Knowledge of big data technologies, such as Apache Hadoop and Spark, is essential. Familiarity with ETL processes and data modeling principles is crucial. A solid understanding of cloud platforms like AWS or Azure, along with problem-solving abilities and attention to detail, will contribute to success in this dynamic field. Continuous learning and adaptability are key to staying abreast of evolving technologies in data engineering. If you have a keen interest in pursuing a career in data science, take a look at this video showcasing Divyansh Sharma's success story. He secured a Data Engineer position at Tech Mahindra just after completing Intellipaat's Advanced Certification in Data Science and AI.