Software Engineer II - Cloud Data Engineer

As a Software Engineer II at JPMorgan Chase within the Corporate Technology, you will be part of an agile team focused on enhancing, designing, and delivering software components for the firm's state-of-the-art technology products in a secure, stable, and scalable manner. Your role involves executing software solutions through design, development, and technical troubleshooting of various components within a technical product or application while gaining the necessary skills and experience to advance in your career. **Key Responsibilities:** - Executes standard software solutions, design, development, and technical troubleshooting - Writes secure and high-quality code using the syntax of at least one programming language with limited guidance - Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications - Applies knowledge of tools within the Software Development Life Cycle toolchain to improve automation value - Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity - Gathers, analyzes, and draws conclusions from large, diverse data sets to contribute to decision-making in service of secure, stable application development - Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems - Contributes to a team culture of diversity, equity, inclusion, and respect **Qualifications Required:** - Formal training or certification on software engineering concepts and 2+ 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 - Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) The company values your willingness to learn and grow within the organization, and your contribution to maintaining a diverse and inclusive team environment.,