Software Engineer III - AWS BIG Data Engineer

JP Morgan Chase; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

JPMorganChase in Bengaluru, India, seeks a Software Engineer III to design and develop scalable software for the Wholesale Client Profitability platform within the PGBT organization. You will apply deep software engineering expertise across the lifecycle and collaborate with stakeholders globally to align on goals.

The role emphasizes cloud data warehouses, big data stacks (HDFS, Spark, Impala), and reporting tools, with a focus on automation, security, and reliable delivery of complex

Qualifications

• Formal training or certification on software engineering concepts.
• Hands-on experience in system design, application development, testing, and operational stability.
• Ability to work in collaborative teams to achieve organizational goals.
• Proven technical proficiency in Big data stack – HDFS, Spark, Impala, and AWS (S3, EMR, SQS).
• Experience with industry reporting tools like Cognos/Sigma/ThoughtSpot and advanced SQL.
• Experience with AI-assisted development tools and secure coding practices.
• Understanding of responsible AI use, data sensitivity, and security expectations.
• Strong data modeling and database architecture knowledge.
• Experience with CI/CD, application resiliency, and security in agile environments.
• Excellent communication and SDLC proficiency.

Responsibilities

• Understands data modelling skills and cloud data warehouses.
• Delivers creative software solutions and design beyond routine approaches.
• Analyzes and supports cloud, big data, and reporting solutions to meet requirements.
• Troubleshoots issues and ensures permanent resolution.
• Generates reports, maintains outputs and controls, ensures accuracy and timeliness.
• Leverages AI coding assist tools to improve quality, speed, and productivity with peer review and secure coding.
• Applies SDLC toolchain knowledge including AI-assisted development to increase automation value.
• Identifies opportunities to automate manual processes and improve platform stability.
• Contributes to team culture of diversity, inclusion, and respect.

Skills

Data modeling

Big data

Cloud AWS

CI/CD

AI-assisted coding

SQL

Reporting tools

Security

Collaboration

Education

Software engineering training

Tools

HDFS

Spark

Impala

AWS S3

EMR

SQS

Cognos

Sigma

ThoughtSpot

Git

Maven

Sonar

JIRA

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 Commercial and Investment Bank Technology and Wholesale Client Profitability within PGBT organization, you are responsible for designing and developing software solutions to support the Wholesale Client Profitability (WCP) platform in a stable, scalable manner. You will be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner with stakeholders to stay focused on common goals. You will work in a collaborative, trusting, thought-provoking environment; one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally.

Job Responsibilities:

• Understands the skills for data modelling, using cloud data warehouses, working with business intelligence tools,
• Delivers creative software solutions and design, with the ability to think beyond routine or conventional approaches
• Analyzes, develops, tests and supports cloud, big data and reporting solutions required to fulfil business and technology requirements
• Troubleshoots technical issues by breaking down problems and ensuring permanent resolution
• Generates reports, test outputs, maintain documentation and controls, use fit-for-purpose data, and help ensure reports are complete, accurate, and timely.
• 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
• Identifies opportunities to eliminate or automate manual processes and recurring issues to improve the overall operational stability of the platform
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills:

• Formal training or certification on software engineering concepts and 3+ years applied experience.
• Hands-on practical experience in system design, application development, testing, and operational stability.
• Ability to work in collaborative teams to achieve organizational goals.
• Proven technical proficiency in Big data stack – HDFS, Spark, Impala, etc. with expertise in AWS including S3, EMR, SQS, etc.
• Experience in some Industry Standard Reporting Tool like Cognos/Sigma/Thoughtspot etc. with knowledge in Advanced SQL and data management.
• 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.
• Strong understanding of data, data modeling and database methodologies and architecture disciplines.
• Ability to identify opportunities to automate workflows, implementing based on specific use cases with solid understanding of agile methodologies such as CI/CD, application resiliency, and security.
• Exceptional interpersonal, relationship and communication skills with proficiency in all aspects of the Software Development Life Cycle.

Preferred qualifications, capabilities, and skills:

• Working knowledge of DevOps is desirable, but not mandatory
• AWS Cloud Certification and other relevant certifications are a plus
• Exposure to Git, maven, sonar and JIRA desirable.