JPMorgan Lead Software Engineer - ETL Databricks Data Modeling 

United States, Illinois, Chicago 

19739512

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years of applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Experience with ETL tools (design and development) including Informatica, Star Schema data models, AWS Glue, and Databricks
• Advanced in one or more programming language(s) such as PL/SQL, Python, and Java
• Expert knowledge in AWS Lake Formation, AWS Glue, AWS Athena, EMR, AWS ECS, AWS EKS, AWS Fargate, Kubernetes, AWS S3, AWS EC2
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle including advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Knowledge of the financial services industry and their IT systems
• Experience in large scale data integration and data warehouse solutions and data modeling
• Experience with Oracle 11g or Higher database including partitioning and NoSQL databases

Preferred qualifications, capabilities, and skills

• Strong experience with Databricks, Datalakes, data products, Big data technologies and handling Metadata
• Exposure to reporting tools such as Cognos, Qlik Sense, QlikView,
• BS/BA in related discipline strongly preferred (i.e., IT, MIS, Computer Science, Technology, etc.).