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Software Engineer Ii - Python/Big Data
Company | JPMorgan Chase & Co. |
Address | Wilmington, DE, United States |
Employment type | FULL_TIME |
Salary | |
Category | Financial Services |
Expires | 2023-08-08 |
Posted at | 10 months ago |
You're ready to gain the skills and experience needed to grow within your role and advance your career - and we have the perfect software engineering opportunity for you on the CCB - Data Lake team!
- Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
- Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
- Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
- Knowledge of best practice in change, problem, incident, configuration, and system health management
- Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
- Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
- Executes standard software solutions, design, development, and technical troubleshooting
- Working with cross-geographic and cross-functional teams
- Demonstratable ability to code in one or more languages
- Experience across the whole Software Development Life Cycle
- Experience with resiliency on Big Data Platforms with DLM and BDR
- Hands-on practical experience in system design, application development, testing, and operational stability
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Solid experience with Automation as a Code, Terraform, Docker and Kubernetes, Bitbucket, Jenkins, ServiceNow
- Formal training or certification on software engineering concepts and 2+ years applied experience
- Experience with horizontally scalable and highly available system design and implementation, with focus on performance and resiliency
- Knowledge on moving data between various platforms like Hadoop / Hive / S3 / RDBMS
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