Python Data Engineer II

JPMorganChase • Jersey City, NJ

7h

About The Position

You thrive on diversity and creativity, and we welcome individuals who share our vision of making a lasting impact. Your unique combination of design thinking and experience will help us achieve new heights. As a Data Engineer II at JPMorganChase within the Consumer & Community Banking, you are part of an agile team that works to enhance, design, and deliver the data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As an emerging member of a data engineering team, you execute data solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Requirements

• Formal training or certification on Software Engineering concepts and 2+ years applied experience
• Experience in ETL process/Advance concepts
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience in AWS, design, implementation, and maintenance of data pipelines using Python and PySpark
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Proven experience in performance and tuning to ensure jobs are running at optimal levels and no performance bottleneck
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Proficiency in Unix scripting, data structures, data serialization formats such as JSON, AVRO, Protobuf, or similar, big-data storage formats such as Parquet, Iceberg, or similar, data processing methodologies such as batch, micro-batching, or stream, one or more data modelling techniques such as Dimensional, Data Vault, Kimball, Inmon, etc., Agile methodology, TDD or BDD and CI/CD tools

Nice To Haves

• Python Advance development skills / Kafka & S3 integration in Performance optimization
• Experience in carrying out data analysis to support business insights
• Strong in PySpark, AWS, & Snowflake

Responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems, patterns in data, and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

What This Job Offers

• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees