Software Engineer II Data Technology

Be part of a team that is pushing the boundaries of whats possible.

As a Software Engineer II at JPMorgan Chase in the Consumer and Community Banking Data Technology division you play a key role on an agile team contributing your expertise to the design and delivery of reliable market-leading technology solutions. Your responsibilities span multiple technical domains and business functions where you implement essential technology initiatives that support the firms strategic objectives ensuring solutions are secure stable and scalable.

Job Responsibilities

• Be responsible for 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 identify the 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 within the feature team.
• Participate in code reviews and ensure 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 2 years applied experience
• Full Software Development Life Cycle experience within an Agile framework
• Expert-level implementation skills with Java AWS Database technologies Python Scala Spark and Snowflake.
• Experience with the development and decomposition of complex SQL (RDMS Platforms) & Experience with one or more leading cloud providers (AWS/Azure/GCP)
• Experience with Data Warehousing concepts (including Star Schema).
• Practical experience in delivering projects in Data and Analytics Big Data Data Warehousing Business Intelligence.
• Good understanding of data engineering challenges and proven experience with data platform engineering (batch and streaming ingestion storage processing management integration consumption) & Experience in Data & Analytics tools and techniques (e.g. Python data mining predictive analytics machine learning data modelling etc.)

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