Lead Pyspark Developer

Luxoft; Bengaluru; On-site; INR 3,000,000 - 4,500,000; Full time

Job summary

Luxoft in Bengaluru is seeking a senior PySpark developer to lead a data-intensive project focused on surveillance platform enhancements. You will drive design, development, testing, and deployment of large-scale data pipelines using PySpark, Pandas, and Python, while mentoring junior developers and coordinating with cross-functional teams.

The role emphasizes strong data engineering skills, RESTful API familiarity, and a proactive approach to adopting Gen AI techniques in regulatory data

Qualifications

• 10+ years of experience in data intensive PySpark development.
• Proven experience leading a development team.
• Strong Python development experience core Python.
• Good understanding of GenAI and data frameworks.
• Strong knowledge of DB connectivity, data loading, transformation, calculation.
• Experience with Pandas/Numpy dataframes, slicing, wrangling, aggregations.
• Knowledge of vector operations on Pandas dataframes/series.
• Experience with applymap/apply/map functions.
• Experience with concurrent data pipeline processing and error handling.
• Familiar with RESTful services and API design.

Responsibilities

• Develop software applications based on business requirements.
• Maintain software applications and implement enhancements.
• Participate in requirements analysis, design, development, testing, and deployment.
• Propose new techniques and technologies for software development.
• Perform unit testing and user acceptance testing.
• Ensure tasks are completed within deadlines.
• Adhere to coding standards and best practices.
• Mentor junior developers as needed.
• Conduct code reviews and suggest improvements.
• Review requirements and translate into technical designs.
• Develop documentation and technical specs for projects.
• Act as primary contact for development queries and concerns.

Skills

PySpark

Team leadership

Python development

Pandas/Numpy

DB connectivity

Tools

Git

RESTful APIs

Django

PostgreSQL

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.

Mandatory Skills Description:

• 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
• Strong knowledge of DB connectivity, data loading , transformation, calculation
• Extensive experience in Pandas/Numpy dataframes, slicing, data wrangling, aggregations
• 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

Nice-to-Have Skills Description:

• Knowledge of web backend technology - Django, Python, PostgreSQL.
• 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