Job Description

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.

As a Software Engineer III: Data Engineer at JPMorgan Chase within the Consumer & Community Banking: Data Technology,  you will serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way.  As a contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

 

Job responsibilities

Develops innovative software solutions, encompassing design, development, and technical troubleshooting, with the ability to think beyond conventional methods to create solutions or resolve technical challenges.Produces secure, high-quality production code, while reviewing and debugging code authored by others.Identifies opportunities to eliminate or automate the remediation of recurring issues, enhancing the overall operational stability of software applications and systems.Collaborates closely with cross-functional teams to develop efficient data pipelines that support various data-driven initiatives.Implements best practices for data engineering, ensuring data quality, reliability, and performance.Contributes to data modernization efforts by utilizing cloud solutions and optimizing data processing workflows.Performs data extraction and implements complex data transformation logic to meet business requirements.Utilizes advanced analytical skills to enhance data pipelines and ensure consistent data delivery across projects.Monitors and conducts data quality checks to proactively identify and address anomalies.Ensures data availability and accuracy for analytical purposes.

Identifies opportunities for process automation within data engineering workflows.

 

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experienceProficient in using ETL tools such as Ab Initio, Informatica, and Data Pipeline, as well as workflow management tools like Airflow.Extensive hands-on coding experience with PySpark, Python, and AWS.Experienced in working with modern Data Lakes, including Snowflake and Databricks.Practical experience in delivering system design, application development, testing, and ensuring operational stability.Exceptional problem-solving skills.Skilled in automation and continuous delivery methodologies.Capable of learning and acquiring new skillsets on an ongoing basis.

 

Preferred qualifications, capabilities, and skills

Highly skilled in one or more programming languages: SQL and Java.Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security.Demonstrated expertise in software applications and technical processes within a technical domain, such as cloud computing, artificial intelligence, and machine learning.Comprehensive knowledge of the financial services industry and its IT systems.

Practical experience with cloud-native technologies.