Software Engineer III - AWS BIG Data Engineer

Posted 19 Hours Ago
Be an Early Applicant
Bengaluru, Bengaluru Urban, Karnataka, IND
Hybrid
Mid level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Develops and supports scalable software, cloud, big data, reporting, and data management solutions for the Wholesale Client Profitability platform. Responsibilities include system design, application development, testing, troubleshooting, operational stability, data modeling, reporting, automation, documentation, and secure use of AI-assisted development tools. The role collaborates with stakeholders and applies AWS, big data, database, SDLC, resiliency, security, and CI/CD practices.
Summary Generated by Built In

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.

Skills Required

  • Formal training or certification in software engineering concepts
  • 3+ years of applied software engineering experience
  • Hands-on experience in system design, application development, testing, and operational stability
  • Ability to work collaboratively in teams
  • Proficiency with big data technologies such as HDFS, Spark, and Impala
  • Expertise with AWS services including S3, EMR, and SQS
  • Experience with an industry-standard reporting tool such as Cognos, Sigma, or ThoughtSpot
  • Advanced SQL and data management knowledge
  • Experience using enterprise-authorized AI-assisted software development tools
  • Understanding of responsible AI use, data sensitivity, secure handling, resiliency, and security expectations
  • Strong understanding of data modeling, database methodologies, and architecture
  • Ability to identify and automate workflows
  • Understanding of agile methodologies, CI/CD, application resiliency, and security
  • Exceptional interpersonal, relationship, and communication skills
  • Proficiency across the software development lifecycle
  • Working knowledge of DevOps
  • AWS Cloud Certification or other relevant certifications
  • Exposure to Git, Maven, SonarQube, and JIRA

JPMorganChase Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.

  • Healthcare Strength — Medical coverage and wellness resources, including mental-health support and wellness incentives, are described as comprehensive and accessible; feedback suggests income-based contributions help keep care affordable.
  • Retirement Support — A dollar-for-dollar 401(k) match up to 5% of eligible pay, plus additional employer contributions in some cases, is highlighted as a strong pillar of financial security. Feedback suggests this structure is a notable advantage of the total rewards package.
  • Parental & Family Support — Up to 16 weeks of paid parental leave for all parents, along with fertility, adoption, surrogacy, childcare, and family-support resources, signals a family-forward approach. Feedback suggests these programs are a standout feature of the package.

JPMorganChase Insights

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The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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