JPMorgan Software Engineer III - Data / ETL Spark Lakes 

United States, Texas, Plano 

360340284

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
• 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
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, equity, inclusion, and respect
• Supports review of controls to ensure sufficient protection of enterprise data
• Responsible for advising and making custom configuration changes in one to two tools to generate a product at the business or customer request
• Updates logical or physical data models based on new use cases
• Frequently uses SQL and understands NoSQL databases and their niche in the marketplace

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
• Proficient in coding in one or more languages, such as, Python or Java
• 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.)
• Experience across the data lifecycle and hands on experience with Spark, ETL, AWS, Any Data warehousing tool (Red Shift, etc) or Data Lake . Along with experience customizing changes in a tools to generate product
• Advanced at SQL (e.g., joins and aggregations) along with working knowledge of NoSQL databases
• Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
• Knoweldge of cloud technologies such as AWS , Azure, and Private Cloud

Preferred qualifications, capabilities, and skills

• AWS Certification
• Data Bricks