Software Engineer II - Big Data, Data Analytics

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within the Consumer & Community Banking, 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


* 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 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.


* Participating 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 3+ 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 Java, AWS, Database technologies, Python, Scala, Spark, Ab Initio or Informatica.


* 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 ...