6+ years of experience in data intensive Pyspark development
Experience as a core Python developer
Must have current project experience in Banking/Capital Markets industry
Basic experience in Gen/Agentic AI
Experience developing Classes, OOPS, exception handling, parallel processing
Strong knowledge of DB connectivity, data loading , transformation, calculation
Extensive experience in Pandas/Numpy dataframes, slicing, data wrangling, aggregations
Lambda Functions, Decorators
Vector operations on Pandas dataframes /series
Application of applymap, apply, map functions
Concurrency and error handling data pipeline batch of size [1-10 gb]
Ability to understand business requirements and translate them into technical requirements
Ability to design architecture of data pipeline for concurrent data processing
Familiar with creating/designing RESTful services and APIs
Familiar with application unit tests
Working with Git source control Service-orientated architecture, including the ability to consider integrations with other applications and services
Knowledge of web backend technology
Django, Python, PostgreSQL.
Understanding of Financial Markets Asset Classes (FX, FI, Equities, Rates, Commodities & Credit), various trade types (OTC, exchange traded, Spot, Forward, Swap, Options) and related systems is a plus
Surveillance domain knowledge, regulations (MAR, MIFID, CAT, Dodd Frank) and related Systems knowledge is certainly a plus
