Software Engineer III - Data Engineer(hadoop, Big data, cloud)
Join our team as a Full Stack Data Engineer and play a pivotal role in shaping the future of Machine Learning and AI solutions within the Consumer & Community Banking sector at JPMorgan Chase.
As a Data Engineer at JPMorgan Chase within the Consumer & Community Banking, Operations team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develops secure high-quality production code, and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Adds to team culture of diversity, equity, inclusion, and respect
- Design, develop and implement data pipelines collecting, transforming and storing data to solve complex business problems and enhance ML-driven applications
- Optimize data pipelines for performance and scalability leveraging cloud based resources
- Demonstrate self-promote and ability to continuously learn and stay updated with latest technology updates
- Troubleshoot and debug issues in production data pipelines
- Initiate and contribute to data strategy
- Be the technical liaison between business, product, data scientists and engineers
- Be a part of our innovation and transformation roadmap
Required qualifications, capabilities, and skills
• Formal training or certification on software engineering concepts and 3+ years of applied experience
• Hands-on experience with end-to-end data pipeline implementation on AWS, including data preparation, extraction, transformation loading, normalization, data lakes and data governance
• Solid experience with Python, SQL, CI/CD pipeline, Github, AWS or Azure or GCP required
• Proven track record in designing and building data models at scale on a cloud platform
• Self-driven and constantly seeking opportunities to improve data processes
• In-depth understanding of modern data architecture such as Data Lake, Data Warehouse, Lakehouse, and Data Mesh
• Good understanding of agile methodologies
• Excellent communication and presentation skills
Preferred qualifications, capabilities, and skills
• Knowledge of the financial services industry and their IT systems
• Practical AWS or Azure cloud native experience
• Experience in data streaming tools such as Kafka
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