Software Engineer III - Big Data, AWS, Spark - Data Engineering
Software Engineer III - Big Data, AWS, Spark - Data Engineering
JP Morgan Chase & Co.Fresher
- Posted 18 hours ago
- Be among the first 10 applicants
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
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
Preferred qualifications, capabilities, and skills
- Familiarity with Databricks.
- Exposure to cloud technologies
More Info
Job Type:
Function:
Employment Type:
Key Skills
AI-assisted software development tools
Application Resiliency
Bigdata
About Company
Skills:
Software Development Life Cycle, Sql, AWS, Bigdata, Agile Methodologies, Spark, AI-assisted software development tools, Data engineering best practices
Skills:
Angular.js, CSS, Serverless Computing, Containers, Node.js, Spring Cloud, Javascript, Spring Boot, AWS, Cloud-native development principles, API and Microservices-based architecture, Netflix OSS
Skills:
cloud platform , Python - OpenSystem, Amazon Webservices DevOps, Technology, OpenSystem, AWS Data Analytics, AWS Glue DataBrew
Skills:
S3, Apis, Aws Services, Roles, Node.js, Vpc, Jira, Svn, Lambda, Ec2, Confluence, Cloudwatch, Aws Cli, Iam, Authentication, Api Gateway, Policies, Authorization, SDKs
Skills:
Java Programming Language, Agile Methodologies, Spring Boot, Sql, Spring Cloud, Nosql, Web Services, Docker, Logging tools, Restful Apis, Azure, Kubernetes, AWS, Microservices architecture, Security best practices, CI CD tools