Software Engineer II - Big Data (ETL) / DevOps Engineer + AWS

About the role

**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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