As a Software Engineer III, you will design and deliver technology solutions while ensuring stable and secure code. Your role includes managing data workflows, developing architectures for applications, automating processes, and providing insights from large data sets. You will collaborate with teams to create high-quality production code and improve system architecture.
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 Asset & Wealth Management, 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
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems. Create and maintain optimal data workflow architecture.
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development. Assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python, Spark and AWS.
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
- Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Experience as a Data Engineer. Must have experience with Python, Spark and AWS.
- Hands-on with AWS cloud services: EMR, Terraform, Cloudwatch, Redshift
- Experience with relational SQL and NoSQL databases
- Familiarity with Hadoop or suitable equivalent
Preferred qualifications, capabilities, and skills
- Good to have knowledge in Data visualization tools like Microsoft BI/Qliksense
- Exposure to cloud technologies
Top Skills
Python
Spark
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