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.