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Strong global brand, Bengaluru location, popular Python developer title, and broad skill requirements drive high competition.
Financial-modeling and regulatory experience preference increases domain specificity, though core Python and data skills remain transferable.
Explicit 8–10 years plus mandatory Python, PySpark, Databricks, cloud and SQL make shortlisting highly strict.
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Develop and implement financial models and advanced data aggregation methods in Python for large, complex financial datasets.
Optimize and automate data processing tasks ensuring high performance, scalability, and controlled execution environments.
Establish database management processes and produce technical documentation; present findings to validation teams and senior management.
8-10 years of overall IT experience with minimum 5 years in Python development.
Strong expertise in Python core concepts including functional and class-based design, and scalable Python coding.
Hands-on experience with AWS Cloud, Databricks, PySpark, RDBMS, SQL, PL/SQL, Unix/Linux, CICD, and Agile frameworks.
Work Experience Required: 8-10 years IT experience, 5+ years Python development experience.
Experienced in financial data analysis and financial modeling with ability to handle large datasets for financial institutions.
Proficient in multi-process Python architecture and threading limitations with experience in performance optimization.
Capable of independently resolving production issues and delivering presentations to senior management and regulatory teams.