Lead Software Engineer- Data Warehousing- Snowflake
About The Position
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 Consumer and Community Banking Data Platforms team, you play a crucial role in an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. As a key technical contributor, you are tasked with implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve the firm's business objectives.
Requirements
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Strong understanding of Snowflake architecture and features, with hands-on experience in data loading, unloading, and transformation, as well as knowledge of best practices for performance optimization.
- Proficient in Python for automation scripts and data processing.
- Experience with libraries such as boto3 (for AWS interaction), pandas (for data manipulation), and sqlalchemy (for database interaction).
- Experience with AWS services such as S3, EC2, Lambda, IAM, and Glue, with experience in setting up and managing AWS resources for data storage and processing, as well as a solid understanding of AWS security best practices and cost management.
- Proficient in all aspects of the Software Development Life Cycle
- Strong SQL skills for querying and manipulating data in Snowflake, with experience in writing complex queries-including joins, subqueries, and window functions-and a solid understanding of data modeling and database design principles.
- 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.)
- In-depth knowledge of the financial services industry and their IT system.
Nice To Haves
- Familiarity with data visualization tools (e.g., Tableau, Looker) for reporting.
- Knowledge of machine learning concepts and frameworks (if applicable to the role).
- Familiarity with version control systems like Git & Bitbucket.
- Ability to document processes and provide training to team members.
- Strong analytical skills to troubleshoot issues and optimize performance.
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, opportunity, inclusion, and respect
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Credit Intermediation and Related Activities
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
