Lead Software Engineer - Abinitio

JobID: 210663372 Category: Software Engineering JobSchedule: Full time Posted Date: 2025-09-16T16:20:25+00:00 JobShift: Day : As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking 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.

Job Responsibilities * Oversee all aspects of data strategy, governance, data risk management, reporting and analytics.

* Work with product owners, data owners and customers to evaluate data requirements and identifying right technology solutions and implementation.

* Design, develop, code, test, debug and deploy applications for scalable and extensible applications.

* Produce high quality code utilizing Test Driven Development techniques.

* Participate in retrospectives to drive continuous improvement with in the feature team.

* Participate in code reviews and ensuring that all solutions are aligned to pre-defined architectural specifications.

* Implement automation: Continuous integration and continuous delivery.

* Manage cloud development and deployment: support development and deployment of applications into AWS Public clouds.

Required qualifications, capabilities, and skills * Formal training or certification on software engineering concepts and 5+ years applied experience.

* Advanced knowledge of architecture, design and business processes.

* Full software development life cycle experience within an Agile framework * Expert level implementation skills with Abinitio, Informatica, Spark, and Python.

* Experience with the development and decomposition of complex SQL (RDMS platforms) * Experience with Data Warehousing concepts (including Star Schema) * Practical experience in delivering projects in Data and Analytics, Big Data, Data Warehousing, Business Intelligence.

Familiar with relevant technological solutions and industry best practices.

* Good understanding of data engineering challenges and proven experience with data platform engineering(batch and streaming, ingestion, storage, processing, management, integration, consumption) * Aware of various Data & Analytics tools and techniques(e.g.

Python, data mining, predictive analytics, machine learning, data modelling, etc.) * Experience with one or more leading cloud providers (AWS/Azure/GCP) Preferred qualifications, capabilities, and skills * Ability to work fast and quickly ramp up on new technologies and strategies * Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals.

* Appreciation of Controls and Compliance processes for applications and data * In depth understanding of data technologies and solutions is preferable.

* Drive process improvements and implement process changes as necessary.

* Knowledge of industry-wide Big Data technology trends and best practices