Senior Pyspark Developer (with Banking/Capital Markets)

Luxoft

Website: luxoft.com
Job details:

Project Description:

• We need a Senior Pyspark Developer to work for a leading investment bank client in Trade Surveillance Team.

Responsibilities:

• • 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.

Mandatory Skills Description:

• • 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 Skills Description:

• • 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

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