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Senior Pyspark Developer (with Banking/Capital Markets)
Successfully
Req. VR-121782
We need a Senior Pyspark Developer to work for a leading investment bank client in Trade Surveillance Team.
Develop software applications based on business requirements
Maintain software applications and make enhancements according to project specifications
Participate in requirement analysis, design, development, testing, and implementation activities
Propose new techniques and technologies for software development.
Perform unit testing and user acceptance testing to evaluate application functionality
Ensure to complete the assigned development tasks within the deadlines
Work in compliance with coding standards and best practices
Provide assistance to Junior Developers when needed.
Perform code reviews and recommend improvements.
Review business requirements and recommend changes to develop reliable applications.
Develop coding documentation and other technical specifications for assigned projects.
Act as primary contact for development queries and concerns.
Analyze and resolve development issues accurately.
Must have
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
Debugging application
Nice to have
Knowledge of web backend technology
Django, Python, PostgreSQL.
Apache Airflow
Atlassian Jira
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
Languages
English: C2 Proficient
Seniority
Senior
Chennai, India
Req. VR-121782
Python
BCM Industry
20/03/2026
Req. VR-121782
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