JPMorgan Software Engineer III - Pyspark/Python/AWS 

United States, New Jersey, Jersey City 

99077876

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Work closely with data scientists and analysts to comprehend data requirements and deliver solutions that align with business objectives
• Optimize and troubleshoot data workflows to ensure high performance and reliability
• Implement best practices for data governance, security, and compliance
• Utilize Databricks for advanced data processing and analytics tasks, while monitoring and managing data infrastructure to ensure scalability and cost effectiveness
• Document data processes and workflows to promote transparency and facilitate knowledge sharin
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Design and implement data solutions on AWS, utilizing services such as S3, EKS/ECS, Lambda
• Strong development experience in Python or Java
• Expertise in PySpark/Spark and familiarity with big data frameworks
• Hands-on experience with AWS services and cloud-based data solutions
• Experience with database technologies such as SQL, PostgreSQL, or DynamoDB
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

• Experience with data warehousing solutions and ETL processes
• Proficiency in data visualization tools and techniques
• Familiarity with Databricks and its ecosystem