Description

Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.

As a Lead Data Engineer at JPMorgan Chase within the Consumer & Community Banking, you play a crucial role in an agile team dedicated to improving, developing, and providing data collection, storage, access, and analytics solutions that are secure, stable, and scalable.

Job responsibilities

• Design and implement 'data models' to support business requirements and analytics.
• Develop and maintain MLOps pipelines for automating the deployment and monitoring of machine learning models.
• Collaborate with data architects, data scientists, data engineers, and product owner to understand data needs and translate them into data models.
• Ensure data models and machine learning models are optimized for performance and scalability.
• Conduct data analysis and profiling to understand data quality and integrity.
• Develop and maintain CI/CD pipelines for machine learning projects.
• Document data models, metadata, and machine learning processes for reference and compliance purposes.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands on experience in Data Modeling and MLOps
• Strong idea on Data warehousing, Data lakes and their Architecture patterns
• Proficiency in data modeling tools such as ER/Studio, ERwin, or similar.
• Experience in deploying and managing machine learning models in production.
• Proficiency in programming languages such as Python, R, or Java.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong understanding of DevOps practices and tools.
• Excellent analytical, problem-solving, and communication skills.