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

JPMorgan Chase & Co.; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Senior Software Engineer III to join Corporate Technology in Bengaluru. You will be a seasoned member of an agile team, designing and delivering trusted market-leading technology products in a secure, scalable way.

You will work across multiple technical areas to support enterprise analytics and business objectives. You will develop data pipelines using Bigdata, Spark, and AWS, ensure reliable performance, and apply SDLC practices with secure coding standards.

Qualifications

• Formal training or certification in 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.

Responsibilities

• Executes software solutions, design, development, and technical troubleshooting beyond routine approaches.
• Develop workflows and ETL data pipelines using Bigdata, Spark, AWS.
• Build, test, and maintain scalable data pipelines and architectures for enterprise analytics.
• Apply data engineering best practices for performance, reliability, and maintainability.
• Leverages AI-assisted coding tools to improve code quality, delivery speed, and productivity with peer review and secure coding.

Skills

Bigdata

Spark

AWS

SQL

Data pipelines

Agile teams

CI/CD

Security

AI-assisted tools

Tools

AWS services

SDLC tools

Job description

Job Information

• Job Identification 210794836
• Job Category Software Engineering
• Business Unit Corporate Sector
• Posting Date 10/26/2026, 11:22 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 the 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

Apply data engineering best practices for performance optimization, reliability, and maintainability and Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

• 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

• 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

• 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

Preferred qualifications, capabilities, and skills