JPMorgan Lead Software Engineer - AWS Redshift 

United States, Texas, Plano 

883307865

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
• Designs and delivers trusted data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way and maintain the cloud data lake environment.
• 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
• Provides recommendations and insight on data management, governance procedures, and intricacies applicable to the acquisition, maintenance, validation, and utilization of data
• Defines database back-up, recovery, and archiving strategy
• Generates advanced data models for one or more teams using firm wide tooling, linear algebra, statistics, and geometrical algorithms

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Highly skilled in the data space especially in Big Data technologies (Spark, Impala, Hive, Redshift, Kafka, etc.) and well versed in AWS
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Experience presenting and delivering visual data
• Proven track record working with AWS Redshift delivering high-performing, scalable data warehousing solutions in the AWS cloud
• Experience in migrating on-premise data warehousing solutions to cloud-based solutions, such as AWS Redshift
• Expertise in Data governance, data lineage, data quality, and data cataloging
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Working experience with both relational and NoSQL databases
• Advanced understanding of database back-up, recovery, and archiving strategies
• Advanced knowledge of linear algebra, statistics, and geometrical algorithms
• Strong communication and collaboration skills, including the ability to work effectively with cross-functional teams.