CRISIL
Website:
crisil.com
Job details:
Develop and maintain python tools and solutions to support performance and attribution analysis
Provide technical support to BAU teams as needed
Analyze and interpret large datasets to identify trends and insights using SQL, Python, PySpark, and Power BI
Work with Databricks and GitHub to manage and version data and code
Ensure data quality and integrity through data validation and manipulation using Python packages such as Pandas and Spark
Strong foundation in SQL, Python, and data analysis
Basic knowledge of PySpark, Power BI, Databricks, and GitHub
Experience with data manipulation and validation using Python packages such as Pandas and Spark
Strong understanding of database concepts and data management
Basic knowledge of Data Lakehouse and Data Warehouse architecture
Excellent Python programming skills, with the ability to work with multiple packages and libraries
Familiarity with data visualization tools such as Power BI
Knowledge of data engineering concepts and data pipeline management
Skilled Required
SQL, Python, and data analysis
PySpark, Power BI, Databricks, and GitHub
Basic know-how of Capital Markets/Asset Management
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