Software Engineer II - Cloud Data Engineer

You are ready to gain the skills and experience needed to grow within your role and advance your career, and there is a perfect software engineering opportunity for you at JPMorgan Chase within the Corporate Technology team. As a Software Engineer II, you will be part of an agile team that enhances, designs, and delivers the software components of 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 multiple components within a technical product, application, or system while acquiring the necessary skills and experience to advance in your role. **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 identify problems and contribute to decision-making for secure, stable application development - Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems - Contributes to the team culture of diversity, equity, inclusion, and respect **Qualification 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 JD does not contain any additional details about the company.,