Lead Software Engineer
Lead Software Engineer
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1 Vacancy
Job Description
At JPMorgan Chase we offer an opportunity to impact your career and provide an adventure where you can push the limits of whats possible. Join us as a Data Engineer Lead and become an integral part of an agile team dedicated to enhancing building and delivering trusted market-leading technology products in a secure stable and scalable way. As a core technical contributor you will be responsible for conducting critical technology solutions across multiple technical areas within various business functions supporting the firms business objectives.
Job Responsibilities:
- Execute creative data solutions design development and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
- Develop secure high-quality production data pipelines and review and debug data processes implemented by others.
- Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of data applications and systems.
- Lead evaluation sessions with external vendors startups and internal teams to drive outcomes-oriented probing of architectural designs technical credentials and applicability for use within existing systems and information architecture.
- Lead communities of practice across Data Engineering to drive awareness and use of new and leading-edge technologies.
- Contribute to a team culture of diversity equity inclusion and respect.
Required Qualifications Capabilities and Skills:
- 8 years of experience in data engineering specifically with Databricks and AWS Glue.
- Hands-on practical experience delivering system design application development testing and operational stability.
- Advanced proficiency in data processing frameworks and tools including knowledge in Parquet and Iceberg.
- Proficiency in automation and continuous delivery methods.
- Proficient in all aspects of the Software Development Life Cycle.
- Advanced understanding of agile methodologies such as CI/CD Application Resiliency and Security.
- Demonstrated proficiency in data applications and technical processes within a technical discipline (e.g. cloud artificial intelligence machine learning mobile etc.).
- In-depth knowledge of the financial services industry and their IT systems.
- Practical cloud-native experience.
Preferred Qualifications Capabilities and Skills:
- AWS Certification
- Databricks Certification
Employment Type
Full-Time