Software Engineer II - ETL, AWS, Python, Spark
Chase bank
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer II at JPMorgan Chase within the Corporate 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
Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems.Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems.Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture.Contribute to software engineering communities of practice and events that explore new and emerging technologies.Add to team culture of diversity, equity, inclusion, and respect.Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 2+ years applied experienceGain hands-on experience in system design, application development, and testing.Show familiarity with ETL processes and tools, including Python, and AWS environments.Display proficiency in data analysis tools such as SQL, Python, OR ScalaAcquire experience in developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages.Understand the overall Software Development Life Cycle and agile methodologies such as CI/CD, application resiliency, and security.Demonstrate knowledge of software applications and technical processes within disciplines like cloud, AI, machine learning, or mobile.Work in a big data environment, handling structured, semi-structured, and unstructured data.Communicate complex data insights effectively to non-technical stakeholders through excellent verbal and written skills.Manage multiple projects and meet deadlines efficiently.Operate as a strong team player with the ability to work collaboratively in a cross-functional environmentPreferred qualifications, capabilities, and skills
Design and develop data pipelines using Snowflake and Databricks to ingest, enrich, and validate data from multiple sources.Re-engineer and migrate on-premises data solutions to the cloud.
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