8+ years of experience in data intensive Pyspark development.
Experience as a core Python developer.
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
