Assistant Manager

We are seeking a skilled Data Engineer to join our dynamic team. The ideal candidate will have expertise in Python, SQL, Tableau, and PySpark, with additional exposure to SAS, banking domain knowledge, and version control tools like GIT and BitBucket. The candidate will be responsible for developing and optimizing data pipelines, ensuring efficient data processing, and supporting business intelligence initiatives. Key Responsibilities Design, build, and maintain data pipelines using Python and PySpark Develop and optimize SQL queries for data extraction and transformation Create interactive dashboards and visualizations using Tableau Implement data models to support analytics and business needs Collaborate with cross-functional teams to understand data requirements Ensure data integrity, security, and governance across platforms Utilize version control tools like GIT and BitBucket for code management Leverage SAS and banking domain knowledge to improve data insights Required Skills Strong proficiency in Python and PySpark for data processing Advanced SQL skills for data manipulation and querying Experience with Tableau for data visualization and reporting Familiarity with database systems and data warehousing concepts Preferred Skills Knowledge of SAS and its applications in data analysis Experience working in the banking domain Understanding of version control systems, specifically GIT and BitBucket Knowledge of pandas, numpy, statsmodels, scikit-learn, matplotlib, PySpark , SASPy Qualifications Bachelor's/Master's degree in Computer Science, Data Science, or a related field Excellent problem-solving and analytical skills Ability to work collaboratively in a fast-paced environment Show more Show less