Software Engineer III - Big Data, AWS, Spark - Data Engineering

JPMorgan Chase & Co.

Bengaluru

On-site

INR 1,800,000 - 2,400,000

Full time

2 days ago
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Job summary

JPMorgan Chase & Co. in Bengaluru invites a Software Engineer III to join Corporate Technology. You will be part of an agile team designing, building, and deploying trusted market-leading technology products in a secure, scalable manner.

You will develop ETL workflows, data pipelines, and analytics architectures, write production-grade code, and participate in peer reviews, automated testing, and secure coding practices. The role emphasizes AI-assisted development and continuous improvement.

Qualifications

  • Formal training or certification in software engineering.
  • Experience with Big Data, Spark and AWS.
  • Knowledge of cloud platforms and distributed data processing.
  • Experience in system design, development, testing and operational stability.
  • Ability to collaborate in agile teams and across stakeholders.
  • Experience with AI-assisted software development tools and secure coding practices.
  • Understanding of SDLC and CI/CD processes.

Responsibilities

  • Executes software design, development, and troubleshooting with ability to solve non-routine problems.
  • Develop ETL data pipelines using Big Data, Spark, and AWS.
  • Build and maintain scalable data pipelines and architectures for enterprise analytics.
  • Produces secure, high-quality production code and reliable algorithms.
  • Leverages AI coding tools to improve quality and speed with peer reviews and tests.
  • Applies SDLC tools and AI-assisted automation to improve delivery.
  • Produces architecture and design artifacts and ensures constraints are met by code.
  • Gathers and analyzes data to create visualizations for product improvement.
  • Proactively identifies data patterns to improve coding hygiene and system architecture.

Skills

Big Data
Spark
SQL
Agile methodologies
CI/CD
Security

Education

Formal training or certification in software engineering

Tools

AWS

Job description

Job Information


  • Job Identification 210794846

  • Job Category Software Engineering

  • Business Unit Corporate Sector

  • Posting Date 10/26/2026, 11:20 AM

  • Apply Before 10/28/2026, 04:00 AM

  • Job Schedule Full time


Job Description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorganChase within Corporate Technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities



  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems,

  • Develop workflows and ETL data pipelines using Bigdata, Spark, AWS

  • Build, test, and maintain scalable data pipelines and data architectures that support enterprise analytics use cases

  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems

  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.

  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development

  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems

  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture


Required qualifications, capabilities, and skills


  • A. Formal training or certification on software engineering concepts and 7+ years applied experience.

  • Hands-on experience with Bigdata, Spark, AWS and SQL

  • Knowledge of cloud platforms (AWS) and distributed data processing

  • Hands-on practical experience in system design, application development, testing, and operational stability

  • Ability to collaborate effectively within agile teams and across stakeholders

  • Hands-on practical experience in system design, application development, testing, and operational stability

  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages

  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.

  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.

  • Overall knowledge of the Software Development Life Cycle

  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

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