The PySpark Developer at JPMorgan Chase designs and develops software components and data solutions, focusing on large datasets and secure application development.
Job Description
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.
As a PySpark Developer Software Engineer II at JPMorgan Chase within the Commercial & Investment Bank Payments Technology team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art 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
Required qualifications, capabilities, and skills
Preferred qualifications, capabilities, and skills
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.
As a PySpark Developer Software Engineer II at JPMorgan Chase within the Commercial & Investment Bank Payments Technology team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art 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 high-quality 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 decision-making 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 on software engineering concepts and 2+ years applied experience
- Hands-on practical experience in system design, application development, testing, and operational stability
- Proven experience as a Data Engineer (atleast 3 years), with a focus on PySpark and big data technologies.
- Proficiency in Python and PySpark for data processing and analysis.
- Experience with Big data technologies on Cloud: AWS or other Cloud services.
- Strong understanding of Databricks, SQL and experience with relational databases.
- Knowledge of data warehousing concepts and ETL processes.
- Monitor data pipelines for performance and reliability, and troubleshoot issues as they arise.
- Optimize PySpark jobs for performance and scalability, including tuning Spark configurations and resource allocation
- Experience across the whole Software Development Life Cycle
Preferred qualifications, capabilities, and skills
- Familiarity with modern front-end technologies
- Exposure to cloud technologies
- Pyspark, SQL, AWS Cloud, Glue
Top Skills
AWS
Databricks
Pyspark
Python
SQL
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