01Overview
JOB DESCRIPTION
You're ready to gain the skills and experience needed to grow within your role and advance your career and we have the perfect software engineering opportunity for you.
As a Software Engineer II - Big Data (ETL) / DevOps Engineer + AWS at JPMorgan Chase within the Commercial & Investment Bank, you'll be a part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
Job responsibilities
Develop, enhance and test new/existing interfaces. The candidate will be part of existing agile team and will work on developing, enhancing ETL pipelines, design solutions
Handle Dev Ops effort in terms of CICD, Scanning, Code, Performance testing and Test coverage
Identify, analyze, and interpret trends or patterns in complex data sets and transforming existing ETL logic into AWS and Hadoop Platform
Innovate new ways of managing, transforming and validating data
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
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
Establish and enforce guidelines to ensure consistency, quality and completeness of data assets
Apply quality assurance best practices to all work products
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 2+ years applied experience
Experience in AWS Services and DBx
Experience in Athena,Redshift,Glue,Aurora,RDS,S3, Lambda and EC2
Experience in a Big Data technology (Hadoop and Spark Architecture, Performance tuning ,Spark SQL, Streaming, KAFKA, Entitlements etc., )
Experience in real time streaming data
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
Experience in Python is a must and Experience in writing SQL queries is a must
Experience with LLMs integration, prompt/context engineering, AI Agent frameworks
Strong Experience with UNIX shell scripting is must
Experience in cloud platforms - AWS and DBx is a must and Familiarity with relational database environment (Oracle, SQL Server, etc.) leveraging databases, tables/views, stored procedures, agent jobs, etc. with strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Preferred qualifications, capabilities, and skills
Bachelor's degree in a technical or quantitative field with preferred focus on Information Systems
Experience in Data bricks and Snowflake is preferred
Experience of working in a development teams, using agile techniques and Object Oriented development and scripting languages, is preferred.
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