Software Engineer III- AWS​/PySpark​/Python

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

As a Manager of Software Engineering at JPMorgan

Chase within the the Consumer and Community Banking - Data and Technology, youlead multiple teams and manage day-to-day implementation activities by identifying and escalating issues and ensuring your team’s work adheres to compliance standards, business requirements, and tactical best practices.

• Provides guidance to immediate team of software engineers on daily tasks and activities
• Sets the overall guidance and expectations for team output, practices, and collaboration
• Anticipates dependencies with other teams to deliver products and applications in line with business requirements
• Manages stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements
• Creates a culture of diversity, opportunity, inclusion, and respect for the team members and prioritizes diverse representation

• Strong python development experience, including modular coding, creating reusable classes, logging, and testing
• Familiarity with PySpark or distributed data processing frameworks
• Experience structuring multi-environment projects , like dev/uat/prod
• Proficiency in writing DBT macros, jinja templates, seeds, and custom test cases
• Ability to build and manage parameterized DAGs and manage task dependencies.
• Experience with Airflow .
• Proficiency with Glue jobs, Athena, Cloud watch, and Lambda
• Working knowledge of Terraform for infrastructure automation
• Understanding of Iceberg,Delta Lake and their role in data-lake architecture.
• Designing and optimizing ETL/ELT pipelines.
• Experience with version control like GIT, testing frameworks, and code reviews

• Experience in Apache Flink.
• Knowledge of snowflake streams, tasks, roles, and warehouses.
• Understanding of CDC and incremental load design, data governance and security.
• Exposure to Docker and container-based deployments.