We have an opportunity to impact your career and provide an adventure where you can push the limits of what's 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 firm's 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 SQL's, 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.
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