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 Firm wide Planning and Analysis Data Platform Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
* Execute creative software solutions, design, develop, and troubleshoot technical issues, thinking beyond routine approaches to build solutions or resolve problems.
* Develop secure, high-quality production code, review, and debug code written by others.
* Identify opportunities to automate or eliminate recurring issues to improve operational stability of software applications and systems.
* Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and applicability within existing systems.
* Lead communities of practice across Software Engineering to promote awareness and adoption of new technologies.
* Contribute to a team culture of diversity, equity, inclusion, and respect.
Required qualifications, capabilities, and skills
* Formal training or certification in software engineering concepts, with advanced experience in Data Management, Data Integration, Data Quality, Data Monitoring, and Analytics.
* Experience leading technologist teams and managing global stakeholders.
* Proficiency in Python and PySpark for data engineering.
* Experience building cloud-native applications on platforms such as AWS, Azure, GCP, leveraging cloud services for data storage, processing, and analytics.
* Hands-on experience with data integration projects involving large volumes of data for reporting models.
* Experience with SQL and NoSQL database systems, creating scalable load processes, and optimizing data storage and retrieval through complex SQL queries.
* Experience working in agile projects with automated testing and DevOps environments.
* Knowledge of big data technologies such as Apache Spark or PySpark.
* Hands-on experience with containerization technologies like Docker and Kubernetes (EKS).
* Ability to guide and coach teams to achieve strategic goals.
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