Python PySpark Software Engineer II
Python PySpark Software Engineer II
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Job Description
Youre 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.
As a Python PySpark Software Engineer II at JPMorgan Chase within the Client Onboarding & Know Your Customer technology group you are part of an agile team that works to enhance design and deliver the software components of the firms stateoftheart technology products in a secure stable and scalable way. As an emerging member of a software engineering team you execute software solutions through the design development and technical troubleshooting of multiple components within a technical product application or system while gaining the skills and experience needed to grow within your role.
Job responsibilities
- Executes standard software solutions design development and technical troubleshooting
- Writes secure and highquality code using the syntax of at least one programming language with limited guidance
- Designs develops codes and troubleshoots with consideration of upstream and downstream systems and technical implications
- Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
- Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
- Gathers analyzes and draws conclusions from large diverse data sets to identify problems and contribute to decisionmaking in service of secure stable application development
- Learns and applies system processes methodologies and skills for the development of secure stable code and systems
- Adds to team culture of diversity equity inclusion and respect
Required qualifications capabilities and skills
- Formal training or certification onsoftware engineeringconcepts and proficient applied experience.
- Handson practical experience in system design application development testing operational stability and data pipelines for moving/transforming data.
- Experience in developing debugging and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Demonstrable ability to code in one or more languages such as Pyhton
- Experience across the whole Software Development Life Cycle
- Exposure to agile methodologies such as CI/CD Application Resiliency and Security
- Experience in PySpark analysis building and tuning pipelines feature engineering on AWS Data Platform.
- Demonstrable advance level of experience with data manipulation libraries (NUMPY PANDAS)
- Advanced SQL (e.g. joins aggregations tuning) and NoSQL databases experience with ETL processing realtime data.
Preferred qualifications capabilities and skills
- Good to have exposure of Databricks
Employment Type
Full-Time
