Senior Pyspark Developer

Luxoft; Chennai; On-site; INR 2,000,000 - 4,000,000; Full time

Job summary

Luxoft is seeking a Senior PySpark Developer to work for a leading investment bank in the Trade Surveillance Team. You will develop software based on business requirements and participate in end-to-end lifecycle from design to deployment.

The role demands 8+ years in data-intensive PySpark development, strong Python, DB connectivity, Pandas/Numpy, and building scalable data pipelines. Mentoring juniors and ensuring code quality are expected.

Qualifications

• 8+ years of PySpark data-intensive experience.
• Core Python development experience.
• 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.
• Applymap/apply/map usage in dataframes.
• Concurrency and error handling for data pipelines of large sizes.
• Ability to translate business requirements into technical requirements.
• Ability to design data pipelines for concurrent processing.
• Familiar with RESTful services and APIs.
• Familiar with unit tests and testing practices.
• Experience with Git and SOA integrations.
• Debugging applications.

Responsibilities

• Develop software applications based on business requirements.
• Maintain software applications and enhance per project specs.
• Participate in requirement analysis, design, development, testing, deployment.
• Propose new techniques and technologies for development.
• Perform unit testing and UAT to evaluate functionality.
• Ensure tasks are completed within deadlines.
• Adhere to coding standards and best practices.
• Provide guidance to junior developers when needed.
• Review code and suggest improvements.
• Translate business requirements into technical designs.
• Create documentation and technical specifications.
• Act as primary contact for development queries.
• Analyze and resolve development issues accurately.

Skills

Pyspark

Python

Gen/Agentic AI

OOps

DB connectivity

Pandas/Numpy

Decorators

Lambdas

REST APIs

Git

Unit tests

Data pipelines

Concurrency

Parallel processing

RESTful services

Tools

Django

Airflow

Jira

PostgreSQL

Job description

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.

SKILLS

Must have

• 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.
• 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