Lead Pyspark Developer

Luxoft; Chennai District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Luxoft in Chennai seeks a senior data engineering professional to design and optimize data pipelines using PySpark and Python. You will lead a development team, implement scalable data processing, and ensure quality through testing and code reviews.

Ideal candidates will have deep Pandas/Numpy experience, RESTful service design, and strong Git/JIRA proficiency, with exposure to Gen AI concepts and distributed computing.

Qualifications

• 10+ years of experience in data intensive PySpark development.
• Demonstrated experience leading a development team.
• Proven experience as a core Python developer.
• Strong knowledge of Pandas/Numpy dataframes and data wrangling.
• Experience in building RESTful services and APIs.
• Familiar with Git and SOA integrations.
• Understanding of concurrency and error handling in data pipelines.

Responsibilities

• Develop software applications based on business requirements.
• Maintain and enhance applications per project specs.
• Participate in requirement analysis, design, development, testing, and implementation.
• Propose new techniques and technologies for development.
• Perform unit and UAT testing to evaluate functionality.
• Ensure tasks are completed within deadlines.
• Adhere to coding standards and best practices.
• Provide guidance to junior developers as needed.
• Review requirements and suggest reliable design changes.
• Document coding and technical specs for projects.
• Serve as primary contact for development queries.
• Analyze and resolve development issues.

Skills

Data intensive PySpark

Lead development team

Core Python development

Gen AI understanding

OOPS, classes, exceptions

DB connectivity and data loading

Pandas/Numpy dataframes

Lambda & decorators

Vector operations on dataframes

RESTful services & APIs

Git/SOA integration

Debugging

Tools

Django

PostgreSQL

Apache Airflow

Jira

Job description

Project description

Surveillance Enhancement Program (SEP) is a multi-year program (MYP) to build and enhance the surveillance platform to detect potential instances of market misconduct, market manipulation and market abuse. The Bank met its commitment to FCA (Financial Conduct Authority, FCA) to meet Market Abuse Regulation ("MAR") requirements for critical data sources in September 2017. Following that, subsequent projects were initiated to further enhance, expand and complement the current coverage of the automated surveillance platform. This project will focus on Alerts enhancements, Strategic data sourcing from FM order and trade lakes, UI / workflow enhancements to meet regulatory obligations (i.e. Market Abuse Regulation, Dodd Frank). This also includes Control Room & Suitability Monitoring related data, UI and scenario enhancements.

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

• 10+ years of experience in data intensive Pyspark development
• Must have experience in leading a Development Team
• Proven experience as a Core Python developer
• Good understanding of Gen 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