Data Engineer III Python AWS SQL

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.

As a Data Engineer III at JPMorganChase within the Consumer & Community Banking - Wealth Management team you serve as a seasoned member of an agile team to design and deliver trusted data collection storage access and analytics solutions in a secure stable and scalable way. You are responsible for developing testing and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firms business objectives.

Job responsibilities

• Collaborates with data governance teams to ensure data quality lineage and compliance with enterprise standards.
• Develops and maintains automated testing and monitoring for data pipelines to ensure reliability and accuracy.
• Optimizes data storage and query performance for large-scale datasets.
• Updates logical or physical data models based on new use cases.
• Frequently uses SQL and understands NoSQL databases and their niche in the marketplace.
• Supports review of controls to ensure sufficient protection of enterprise data.
• Adds to team culture of diversity opportunity inclusion and respect.

Required qualifications capabilities and skills

• Formal training or certification on data engineering concepts and 3 years applied experience
• Advanced proficiency in SQL (e.g. joins and aggregations) and working understanding of NoSQL databases
• Proficiency programming in Python for data processing tasks
• Proficient in Object-Oriented Programming (OOP) concepts with a strong ability to design and implement robust reusable and maintainable code structures across various programming languages.
• Experience building and consuming RESTful APIs for data integration. Familiarity with event-driven architectures.
• Experience with query optimization partitioning and indexing strategies for large datasets.
• Extensive experience with cloud platforms to design deploy and manage scalable and efficient cloud-based solutions.
• Hands-on experience with distributed data processing frameworks leveraging their capabilities for large-scale data processing and analytics to drive efficient and insightful data solutions.
• Experience in utilizing behavior-driven development (BDD) frameworks.

• Proficiency in Unix scripting data structures data serialization formats such as JSON AVRO or similar and big-data storage formats such as Parquet.

• Understanding of data security best practices and compliance requirements.

Preferred qualifications capabilities and skills

• Familiarity with CI/CD pipelines containerization and orchestration technologies.
• Provision infrastructure using a high-level configuration language.
• Experience with monitoring and analyzing system performance.
• Experience with real-time monitoring and performance analysis of applications and infrastructure.
• Exposure to integrating machine learning models or AI-driven analytics into data pipeline
• Familiarity with AI/ML platforms or frameworks for building deploying or managing machine learning solutions.