Data Engineer III

You have an exciting opportunity to advance your data engineering career and drive innovation in cloud automation at JP Morgan Chase within the Data Governance team. As a Software Engineer II, your role involves designing and delivering robust, compliant, and scalable data solutions that support the organization's data quality, security, and regulatory requirements. You will collaborate with cross-functional teams to ensure best practices in data management and automation. Key Responsibilities: - Design, develop, and maintain scalable data pipelines using Python and Big Data frameworks to support governance initiatives - Architect and implement AWS cloud-based solutions for secure data storage, processing, and analytics - Automate infrastructure deployment and management using Terraform - Develop and maintain CI/CD pipelines using Jenkins for automated testing and deployment - Collaborate with data stewards and compliance officers to deliver high-performance, compliant data solutions - Ensure best practices in code quality, data security, privacy, and regulatory compliance - Troubleshoot and optimize data workflows and cloud infrastructure Qualification Required: - Formal training or certification on software engineering concepts and 2+ years of applied experience - Experience in data engineering, cloud automation, or DevOps - Advanced programming skills in Python for data engineering and automation - Hands-on experience with Hadoop, Spark, or similar Big Data technologies - Proficiency in AWS Cloud platforms - Strong knowledge of Infrastructure as Code using Terraform - Experience in building and maintaining CI/CD pipelines with Jenkins You will be working with a team that values experience or interest in agent-based AI systems or autonomous agents, as well as experience working in or with data governance, data quality, or data compliance teams. Strong problem-solving and communication skills, along with the ability to work independently and as part of a team, are essential for success in this role. You have an exciting opportunity to advance your data engineering career and drive innovation in cloud automation at JP Morgan Chase within the Data Governance team. As a Software Engineer II, your role involves designing and delivering robust, compliant, and scalable data solutions that support the organization's data quality, security, and regulatory requirements. You will collaborate with cross-functional teams to ensure best practices in data management and automation. Key Responsibilities: - Design, develop, and maintain scalable data pipelines using Python and Big Data frameworks to support governance initiatives - Architect and implement AWS cloud-based solutions for secure data storage, processing, and analytics - Automate infrastructure deployment and management using Terraform - Develop and maintain CI/CD pipelines using Jenkins for automated testing and deployment - Collaborate with data stewards and compliance officers to deliver high-performance, compliant data solutions - Ensure best practices in code quality, data security, privacy, and regulatory compliance - Troubleshoot and optimize data workflows and cloud infrastructure Qualification Required: - Formal training or certification on software engineering concepts and 2+ years of applied experience - Experience in data engineering, cloud automation, or DevOps - Advanced programming skills in Python for data engineering and automation - Hands-on experience with Hadoop, Spark, or similar Big Data technologies - Proficiency in AWS Cloud platforms - Strong knowledge of Infrastructure as Code using Terraform - Experience in building and maintaining CI/CD pipelines with Jenkins You will be working with a team that values experience or interest in agent-based AI systems or autonomous agents, as well as experience working in or with data governance, data quality, or data compliance teams. Strong problem-solving and communication skills, along with the ability to work independently and as part of a team, are essential for success in this role.