Lead Software Engineer - Hadoop
Lead Software Engineer - Hadoop
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Job Description
We 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 at JPMorgan Chase within the Chief Technology office youare an integral part of an agile team that works to enhance build and deliver trusted marketleading technology products in a secure stable and scalable way. As a core technical contributor you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.
Job responsibilities
- 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 highquality 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 startups and internal teams to drive outcomesoriented probing of architectural designs technical credentials and applicability for use within existing systems and information architecture
- Leads communities of practice across Software Engineering to drive awareness and use of new and leadingedge technologies
- Adds to team culture of diversity equity inclusion and respect
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 5 years applied experience
- Hands on experience focusing on cloud and Big Data environments.
- Experience in leading and managing software engineering teams with successful project delivery.
- Proficiency in programming languages like Python or Java with cloudnative development experience.
- Expertise in AWS services (Data Lakes EMR EKS/ECS Glue) and Hadoop ecosystem tools.
- Experience with Infrastructure as Code (IaC) tools like Terraform for cloud resource management.
- Strong understanding of SDLC agile methodologies CI/CD and exposure to AI and machine learning applications.
- Familiarity with Cloudera Data Platform
- Familiarity with Databricks and Open Table formats like Iceberg Delta Lake
- AWS Cloud Certification will be plus
- Bachelors or Masters degree in Computer Science Engineering or a related field.
Employment Type
Full-Time
