Software Engineer III – Big Data & Analytics

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.

As a Software Engineer for Big Data and Analytics at JPMorgan Chase within Consumer and Community Banking Data Technology you will be an integral part of an agile team that enhances builds and delivers trusted market-leading technology products in a secure stable and scalable way. As a core technical contributor you will be responsible for delivering critical technology solutions across multiple technical areas and business functions supporting the firms objectives using Java J2EE Microservices Python Spark Scala and AWS for Business Banking Data Products.

Job Responsibilities

• Oversee all aspects of data strategy governance data risk management reporting and analytics.
• Manage risks associated with data use retention/destruction and privacy.
• Design develop code test debug and deploy scalable and extensible applications.
• Produce high-quality code utilizing Test Driven Development techniques.
• Participate in retrospectives to drive continuous improvement within the feature team.
• Participate in code reviews ensuring all solutions align with pre-defined architectural specifications.
• Implement automation through Continuous Integration and Continuous Delivery.
• Manage cloud development and deployment supporting applications in both private andpublic clouds.

Required Qualifications Capabilities and Skills

• Formal training or certification in software engineering concepts and 3 years of applied experience.
• Advanced knowledge of architecture design and business processes.
• Full Software Development Life Cycle experience within an Agile framework.
• Expert-level skills in Java AWS database technologies Python Scala Spark/PySpark or any ETL technology.
• Experience developing and decomposing complex SQL on RDMS platforms.
• Experience with Data Warehousing concepts (including Star Schema).
• Practical experience delivering projects in Data and Analytics Big Data Data Warehousing and Business Intelligence; familiarity with relevant technological solutions and industry best practices.
• Strong understanding of data engineering challenges and proven experience with data platform engineering (batch and streaming ingestion storage processing management integration consumption).
• Familiarity with multiple Data & Analytics technology stacks.
• Awareness of various Data & Analytics tools and techniques (e.g. Python data mining predictive analytics machine learning data modeling etc.).
• Experience with one or more leading cloud providers (AWS Azure GCP).

Preferred Qualifications Capabilities and Skills

• Ability to work quickly and ramp up on new technologies and strategies.
• Strong collaboration skills and ability to develop meaningful relationships to achieve common goals.
• Appreciation for controls and compliance processes for applications and data.
• In-depth understanding of data technologies and solutions is preferable.
• Ability to drive process improvements and implement necessary changes.
• Knowledge of industry-wide Big Data technology trends and best practices.