Software Engineer III PySpark, Databricks

As a Software Engineer III at JPMorgan Chase within the Corporate Technology, your role involves serving as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable manner. Your responsibilities include executing software solutions, design, development, and technical troubleshooting with the ability to think innovatively, creating secure and high-quality production code, producing architecture and design artifacts for complex applications, and contributing to software engineering communities of practice and events exploring new technologies. You are also expected to proactively identify hidden problems and patterns in data to drive improvements in coding hygiene and system architecture, as well as fostering a team culture of diversity, equity, inclusion, and respect. Key Responsibilities: - Execute software solutions, design, development, and technical troubleshooting with innovative approaches - Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems - Produce architecture and design artifacts for complex applications and ensure design constraints are met - Gather, analyze, synthesize, and develop visualizations and reporting from large data sets - Identify hidden problems and patterns in data to drive improvements in coding hygiene and system architecture - Contribute to software engineering communities of practice and events exploring new technologies - Foster a team culture of diversity, equity, inclusion, and respect Qualifications Required: - Formal training or certification on software engineering concepts with 3+ years of applied experience - Over 4 years of practical experience with Spark, SQL, Databricks, and the AWS cloud ecosystem - Expertise in Apache NiFi, Lakehouse/Delta Lake architectures, system design, application development, testing, and ensuring operational stability - Strong programming skills in PySpark and SparkSQL - Proficient in orchestration using Airflow - In-depth knowledge of Big Data and data warehousing concepts - Experience with CI/CD processes - Solid understanding of agile methodologies, including DevOps practices, application resiliency, and security measures - Demonstrated knowledge of software applications and technical processes within a technical discipline The job description does not include any additional details about the company.,