Software Engineer II - Big Data Developer (Red Shift, Hadoop, Spark, HIVE)

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 - Big Data Developer at JPMorgan Chase within the Commercial Bank Technology Team, you will dive head-first into creating innovative solutions that advance businesses and careers. You'll join an inspiring and curious team of technologists dedicated to develop core business platform involving design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. You'll be working with and sharing ideas, information and innovation with our global team of technologists from all over the world.
Job Responsibilities :

• Govern Architecture and Design Quality of Service in production environments
• Perform cross impact analysis with systems, products, third party technology & business stakeholders to ensure systemic changes are handled seamlessly
• Partner with firm wide technology architecture councils, working groups with the intent of defining, driving apt software development practices in product operating model.
• Enhance modern infrastructure, operations and advancement in stable and matured technology platforms
• Work with requirements which may not be available to the last level of detail
• Keep the team and other key stakeholders up to speed on the progress of what's being developed
• Work independently with very little supervision
• Document and deliver crisp communication in various artifacts as needed in product roadmap and execution to technology, product and business stakeholders.

Required qualifications, capabilities, and skills :

• Formal training or certification on software engineering concepts and 2+ years applied experience
• Experience in a Big Data technology (Hadoop and Spark Architecture, Performance tuning, Spark SQL, HIVE, SQOOP, KAFKA, Impala, HBASE, Entitlements etc., )
• Advanced knowledge of application, data and infrastructure architecture disciplines
• Extensive AWS & Cloud Foundry experience - transactional and analytical workloads
• Experience in one or more languages such as Java/Python in a large enterprise and understanding of the importance of end-to-end software development-such as Agile frameworks-is key.
• Expertise in modernization using micro-front end patterns, micro-services & APIs, Event Driven Architecture, Containerization/Kubernetes, and cloud databases
• Operational experience with multiple applications running in Kubernetes clusters
• Familiar with security & business risks, troubleshooting and root cause analysis
• Experience in domain driven design, lean architecture and agile delivery
• Hands on in CI/CD and developer tool chain and Good data analytical skills.
• Experience in proven design patterns on frameworks, integration, resiliency, security, cost, high availability and scalability

Preferred qualifications, capabilities, and skills :

• Hands on experience in building enterprise wide platforms or cloud PaaS/SaaS services is an advantage