Software Engineer III - Pyspark

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 AI/ML & Data Platform team, 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 Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems 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 in Software engineering concepts, with 3+ years of applied experience. Hands-on practical experience in in PySpark, Spark SQL, and spark optimization, along with experience in databases and Hadoop technologies Deep understanding of data pipelines and proficiency in working with at least one database. Experience in building complex distributed systems using Python/Poetry on AWS Experience with Python, Kafka, Spark, advanced SQL, Glue Technical mentoring experience and strong communication skills. Excellent understanding of modern engineering practices to leverage public cloud benefits, such as auto-scaling, with a focus on end-to-end engineering experience supported by tooling and automation. Preferred Qualifications, Capabilities, And Skills Preferred experience in designing, developing, and implementing software solutions, with a commitment to becoming an expert. Exposure to cloud technologies, specifically AWS. Familiar in Python coding. Familiar in PySpark optimization ABOUT US Show more Show less