Data Engineer III - Python / AWS / SQL

JPMorganChase • Plano, TX

1d

About The Position

As a Data Engineer III at JPMorganChase within the Consumer & Community Banking - Wealth Management team, you will be a seasoned member of an agile team. Your role involves designing and delivering secure, stable, and scalable data collection, storage, access, and analytics solutions. You will be responsible for developing, testing, and maintaining critical data pipelines and architectures across various technical areas and business functions to support the firm’s business objectives.

Requirements

• 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.

Nice To Haves

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees