Professional & Technical Skills: Must To Have Skills: Proficiency in PySpark. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Handson implementing various machine learning algorithms such as linear regression logistic regression decision trees and clustering algorithms. Solid grasp of data munging techniques including data cleaning transformation and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 3 years of experience in PySpark.