Software Engineer III - Pyspark/Python/AWS

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 Corporate Technology Financial Planning and Analysis team, you will be a key member of an agile team, tasked with designing and delivering cutting-edge technology products that are secure, stable, and scalable. Your role involves implementing essential technology solutions across diverse technical domains to support the firm's business goals effectively. 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 Work closely with data scientists and analysts to comprehend data requirements and deliver solutions that align with business objectives Optimize and troubleshoot data workflows to ensure high performance and reliability Implement best practices for data governance, security, and compliance Utilize Databricks for advanced data processing and analytics tasks, while monitoring and managing data infrastructure to ensure scalability and cost effectiveness Document data processes and workflows to promote transparency and facilitate knowledge sharin 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, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and3+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Design and implement data solutions on AWS, utilizing services such as S3, EKS/ECS, Lambda Strong development experience in Pythonor Java Expertise in PySpark/Spark and familiarity with big data frameworks Hands-on experience with AWS services and cloud-based data solutions Experience with database technologies such as SQL, PostgreSQL, or DynamoDB Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Experience with data warehousing solutions and ETL processes Proficiency in data visualization tools and techniques Familiarity with Databricks and its ecosystem

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