Software Engineer III: Data Engineer

JPMorgan Chase & Co.•New York, NY

3h•$133,000 - $185,000

About The Position

As a Data Engineer III at JPMorganChase within the CCB Connected Commerce - Banking Payments, 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 firm’s business objectives.

Requirements

Formal training or certification on Software Engineering concepts and 3+ years applied experience
Working understanding of NoSQL databases with Advanced at SQL (e.g., joins and aggregations)
Experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
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 (secondary alternative: Java)
Experience in performance and tuning to ensure jobs are running at optimal levels and no performance bottleneck
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, Lambda, ECS, EKS, Kinesis, CloudWatch
Experience in carrying out data analysis to support business insights
Strong in PySpark, AWS, Terraform & Snowflake, GitHub Copilot, Airflow, Kubernetes

Responsibilities

Supports review of controls to ensure sufficient protection of enterprise data
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
Updates logical or physical data models based on new use cases
Frequently uses SQL and understands NoSQL databases and their niche in the marketplace