Lead Software Engineer - Abinitio

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