This is your chance to change the path of your career and work at one of the world's leading financial institutions.

As a Python/Java Software Engineer III at JPMorgan Chase within the Consumer & Community Banking/Data Products team, 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:

Demonstrate python development experience, including modular coding, creating reusable classes, logging, and testingUnderstand PySpark or distributed data processing frameworksExhibit Proficiency in writing DBT macros, jinja templates, seeds, and custom test casesHave Experience with Airflow on MWAA, Astronomer or KubernetesShow Proficiency with Glue jobs, Athena, Cloud watch, and LambdaWorking knowledge of Terraform for infrastructure automationApply Understanding of Iceberg, Hudi or Delta Lake and their role in data-lake architecture.Possess Ability to query and manage open-table format datasets.Designing and optimizing ETL/ELT pipelines.Demonstrate Knowledge of snowflake streams, tasks, roles, and warehouses.Utilize Experience with version control like GIT, testing frameworks, and code reviews

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years of applied experienceProficiency in Python/Java technology Hands-on practical experience in system design, application development, testing, and operational stabilityProficient in coding in one or more languages such as Python/JavaExperience in building solutions using cloud technologies like AWSExposure to message streaming technologies such KAFKA/FLINKExperience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.Overall knowledge of the Software Development Life CycleSolid understanding of agile methodologies such as CI/CD, Application Resiliency, and SecurityDemonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)