Software Engineer II - Data Engineer

As a Software Engineer II at JPMorgan Chase within the Consumer and community banking- Data technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives.

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