Lead Pyspark Developer

Luxoft; Bengaluru; On-site; INR 2,800,000 - 5,200,000; Full time

Job summary

Luxoft in Bengaluru seeks a senior data engineer to lead PySpark-based data pipelines for a high-volume financial surveillance platform. You will design, develop and optimize software components, collaborating with analysts to deliver on time in a data‑intense environment.

The role requires 10+ years in data engineering with PySpark, Python, Pandas/Numpy, and leadership experience. Mentoring, code reviews, RESTful services, and SQL DB expertise are essential.

Qualifications

• 10+ years in data-intensive PySpark development.
• Proven experience leading a development team.
• Strong Python core development experience.
• Good understanding of Pandas/Numpy dataframes and data wrangling.
• Familiar with RESTful services and API design.
• Experience with SQL databases and data loading/transformation.
• Knowledge of parallel processing and Lambda/Decorators.
• Understanding of AI/Gen AI concepts is a plus.
• Ability to translate business requirements into technical design.
• Experience with Git and SOA integrations.

Responsibilities

• Develop software applications based on business requirements
• Maintain software applications and enhancements per specs
• Lead requirement analysis, design, development, testing and implementation
• Propose new techniques and technologies for software development
• Perform unit and user acceptance testing
• Ensure tasks meet deadlines and coding standards
• Mentor junior developers and perform code reviews
• Review requirements and design reliable data pipelines
• Create documentation and technical specs
• Act as primary contact for development queries
• Analyze and resolve development issues

Skills

PySpark

Python

Leadership

Pandas/Numpy

SQL/DB access

Data pipelines

RESTful services

Gen AI

Parallel processing

Code reviews

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