As a Software Engineer II, you will design, develop, and troubleshoot software solutions while gaining skills for career advancement, focusing on secure and scalable code within an agile team environment.
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 Software Engineer II at JPMorgan Chase within the Consumer & Community Banking Rewards 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 Software Engineer II at JPMorgan Chase within the Consumer & Community Banking Rewards 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, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture.
- Design & develop data pipelines end to end using PySpark, Java, Python and AWS Services. Utilize Container Orchestration services including Kubernetes, and a variety of AWS tools and services.
- 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 of applied experience.
- 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
- Hands-on practical experience in developing spark-based Frameworks for end-to-end ETL, ELT & reporting solutions using key components like Spark & Spark Streaming.
- Proficient in coding in one or more Coding languages - Core Java, Python and Pyspark
- Experience with Relational and Datawarehouse databases,
- Cloud implementation experience with AWS including:
- AWS Data Services: Proficiency in Lake formation, Glue ETL (or) EMR, S3, Glue Catalog, Athena, Airflow (or) Lambda + Step Functions + Event Bridge
- Data De/Serialization: Expertise in at least 2 of the formats: Parquet, Iceberg, AVRO, JSON
- AWS Data Security: Good Understanding of security concepts such as: Lake formation, IAM, Service roles, Encryption, KMS, Secrets Manager
- Proficiency in automation and continuous delivery methods.
Preferred qualifications, capabilities, and skills
- Experience in Snowflake nice to have.
- Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security.
- In-depth knowledge of the financial services industry and their IT systems. Practical cloud native experience preferably AWS.
Top Skills
Airflow
Athena
AWS
Aws Data Services
Glue
Java
Kubernetes
Pyspark
Python
S3
Spark
Spark Streaming
SQL
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