DescriptionWe have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.
As a Lead Software Engineer at JPMorgan Chase within the Global Banking Data Analytics & Technology division you will play a vital role in an agile team dedicated to enhancing developing and delivering innovative technology products that prioritize security stability and scalability. Your position as a key technical contributor involves executing essential technology solutions across various technical domains within diverse business functions all designed to support the firms strategic goals.
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 Databricks concepts and proficient advanced experience
- Hands-on practical experience delivering system design application development testing and operational stability
- Advanced in one or more programming language(s) Python is required
- Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g. cloud artificial intelligence machine learning mobile etc.)
- Ability to tackle design and functionality problems independently with little to no oversight
- Experience performing data analytics on AWS platforms
- Experience in writing efficient SQLs implementing complex ETL transformations on big data platform.
- Experience in a Big Data technologies (Spark Impala Hive Redshift Kafka etc.)
- Experience in data quality testing; adept at writing test cases and scripts presenting and resolving data issues
- Experience with Databricks Snowflake Iceberg are required
Preferred qualifications capabilities and skills
- Experience in application and data design disciplines with an emphasis on real-time processing and delivery e.g. Kafka is preferable
- Understanding of the Commercial & Investment Bank business will be useful.
- Proficiency across the full range of database and business intelligence tools; publishing and presenting information in an engaging way is a plus
- Financial Services and Commercial and Investment Banking experience is a plus
- Familiarity with NoSQL database platforms(DynamoDB Cassandra) is a plus
- Familiarity with relational database environment (Oracle SQL Server etc.) leveraging databases tables/views stored procedures agent jobs etc.