JPMorgan Chase is looking to solve technical problems by executing software solutions, designing, developing, and troubleshooting technical issues, creating secure and high-quality production code, contributing to the architecture and design of complex applications, and working with large, diverse data sets to promote continuous improvement.
Requirements
- Hands on experience in data mapping, data architecture, and data modeling on Databricks
- Extensive experience in AWS
- Design, implementation, and maintenance of data pipelines using Python, pyspark on Databricks
- Proficient in Python, and PySpark
- Able to write and execute complex queries to perform curation and build views required by end users (single and multi-dimensional)
- Extensive experience in Databricks Data engineering (Job Runs, Data Ingestion and Delta Live Tables, Spark Streaming)
- Experienced in standing up and maintaining EC2 instances, Kubernetes clusters and Lambda services
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 and 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
- Provides guidance to immediate team of software engineers on daily tasks and activities
Other
- Formal training or certification on software engineering concepts and 3+ years applied experience
- The ideal candidate will have a strong understanding of front-end and back-end technologies, with a focus on creating seamless user experiences
- Experience in building Notebooks with complex code structures and debugging failed jobs.
- Proven experience in performance and tuning to ensure jobs are running at optimal levels and no performance bottleneck
- Proven ability to deliver high quality features into production system in a rapid paced, iterative development environment.
