8 - 13 years
9 - 19 Lacs
Posted:1 month ago|
Platform:
Work from Office
Full Time
Role & responsibilities Develop and optimize Oracle PL/SQL queries to extract and manipulate data based on business requirements. Design and implement waterfall models for campaign analytics using Oracle PL/SQL. Leverage Python to build predictive models. Work on collaborative analytics to enhance campaign effectiveness. Capture dynamic business user inputs, create predefined queries, and ensure data accuracy for real-time decision-making. Ensure best practices in data modeling, ETL, and performance tuning in an Exadata-based Data Warehouse (DWH) environment. Preferred candidate profile Experienced in Oracle PL/SQL, Python, and Data Analytics. Proficiency in ETL processes, data warehousing, and query performance optimization. Hands-on experience in predictive modeling, machine learning concepts, and statistical analysis using Python. Strong problem-solving, analytical thinking, and communication skills. Experience in banking or financial services domains. Prior work in a Data Warehouse (DWH) environment on Exadata. Familiarity with big data technologies and data visualization tools is a plus.
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