Experience: 4–6 years of experience in data engineering or software development. Technical Expertise: • Strong hands-on experience with Apache Spark / PySpark. • Proficiency in Python programming (data manipulation, error handling, packaging). • Solid understanding of distributed computing concepts (RDDs, DataFrames, partitions, shuffles). • Proficient in SQL and data modeling for both structured and semi-structured data. • Understanding of version control (Git), CI/CD, and Agile methodologies. • Strong debugging, performance tuning, and analytical skills.