Required Skills:
Strong experience with SQL (e.g., joins, subqueries, CTEs, window functions).
Proficiency in Python for data manipulation (e.g., pandas, NumPy).
Experience working with relational databases like MySQL, PostgreSQL, SQL Server, or Oracle .
Hands-on experience in data wrangling , cleaning, and feature engineering.
Understanding of ETL processes and tools .
Familiarity with version control systems like Git.
Knowledge of data visualization techniques and tools.