Experienced mid to senior developer with at least 8-10 years of experience exclusively related to python.
Strong proficiency in data processing libraries - NumPy, Pandas for efficient optimized code handling large datasets.
Experience with ETL pipelines and data transformation workflows in production environments.
Good understanding of Data Structures and Algorithms with focus on performance optimization.
Experience with NoSQL databases - document stores, key-value databases for data storage and retrieval.
Knowledge of serverless/cloud functions - Lambda - style compute environments and event-driven architectures.
Config-driven development approach - building maintainable, parameterized systems.
Basic understanding of financial instruments - equities, bonds, and market data structures.
Additional Skillset: Working knowledge of SQL for data querying and analysis.
Experience with distributed data processing frameworks.
Good understanding of testing concepts for data pipelines and ETL validation.
Experience with Agile practices and collaborative development.
Should have good communication, self-starter, sense of ownership and accountability.
Cloud platform experience - AWS, Azure or similar environments.
Financial markets experience - trading systems, market data or fintech background