Software Engineer III - Big Data, Data Analytics
Software Engineer III - Big Data, Data Analytics
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1 Vacancy
Job Description
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 marketleading 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 firms 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 predefined 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 onsoftware 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
- Expertlevel 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 depth understanding of data technologies and solutions is preferable.
- Drive Process improvements and implement process changes as necessary.
- Knowledge of industrywide Big Data technology trends and best practices
Employment Type
Full-Time
