DescriptionWe have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.
As a Lead Software Engineer-Python AWS Big Data at JPMorgan Chase within the Corporate Technology-Digital Workflows team you will be a seasoned member of an agile team tasked with designing and delivering reliable data collection storage access and analytics solutions that are secure stable and scalable. Your responsibilities will include developing testing and maintaining essential data pipelines and architectures across diverse technical areas supporting various business functions to achieve the firms business objectives.
Job responsibilities
- Builds data processing pipeline and deploys applications in production
- Executes creative software solutions design development and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develops secure high-quality production code and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Leads evaluation sessions with external vendors and internal teams to drive outcomes-oriented probing of architectural designs technical credentials and applicability for use within existing systems and information architecture - Adds to team culture of diversity opportunity inclusion and respect
Required qualifications capabilities and skills
- Formal training or certification on Software Engineering concepts and 5 years applied experience
- Experience on Bigdata Data platforms and Data Engineering concepts
- Hands-on practical experience delivering system design application development testing and operational stability
- End to end understanding and hands on experience with Developing Data Pipeline Processes
- Programming experience in Python FAST API Spark
- Technically competent in various AWS Services Lambda Glue Step Function ECS AWS Infrastructure provisioning through Terraform
- Experience across the data lifecycle and Advanced at SQL (e.g. joins and aggregations) along with working knowledge of OLAP & OLTP databases
- Proficient in all aspects of the Software Development Life Cycle. Advanced understanding of agile methodologies such as CI/CD Application Resiliency and Security
- Ability to tackle design and functionality problems independently with little to no oversight
- Training in Generative AI solutions like NLP & LLM Models
Preferred qualifications capabilities and skills
DescriptionWe have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.As a Lead Software Engineer-Python AWS Big Data at JPMorgan Chase within the Corporate Technology-Digital Workflows team you will be a seasoned member of an agile team tas...
DescriptionWe have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.
As a Lead Software Engineer-Python AWS Big Data at JPMorgan Chase within the Corporate Technology-Digital Workflows team you will be a seasoned member of an agile team tasked with designing and delivering reliable data collection storage access and analytics solutions that are secure stable and scalable. Your responsibilities will include developing testing and maintaining essential data pipelines and architectures across diverse technical areas supporting various business functions to achieve the firms business objectives.
Job responsibilities
- Builds data processing pipeline and deploys applications in production
- Executes creative software solutions design development and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develops secure high-quality production code and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Leads evaluation sessions with external vendors and internal teams to drive outcomes-oriented probing of architectural designs technical credentials and applicability for use within existing systems and information architecture - Adds to team culture of diversity opportunity inclusion and respect
Required qualifications capabilities and skills
- Formal training or certification on Software Engineering concepts and 5 years applied experience
- Experience on Bigdata Data platforms and Data Engineering concepts
- Hands-on practical experience delivering system design application development testing and operational stability
- End to end understanding and hands on experience with Developing Data Pipeline Processes
- Programming experience in Python FAST API Spark
- Technically competent in various AWS Services Lambda Glue Step Function ECS AWS Infrastructure provisioning through Terraform
- Experience across the data lifecycle and Advanced at SQL (e.g. joins and aggregations) along with working knowledge of OLAP & OLTP databases
- Proficient in all aspects of the Software Development Life Cycle. Advanced understanding of agile methodologies such as CI/CD Application Resiliency and Security
- Ability to tackle design and functionality problems independently with little to no oversight
- Training in Generative AI solutions like NLP & LLM Models
Preferred qualifications capabilities and skills
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