Software Engineer III - PySpark/Databricks

As a Software Engineer III at JPMorgan Chase within the Technology division, you will be part of a dynamic team responsible for executing software solutions, designing, developing, and troubleshooting technical issues.

You will have the opportunity to create secure and high-quality production code, contribute to the architecture and design of complex applications, and work with large, diverse data sets to promote continuous improvement.

Your role will also involve guiding a team of software engineers, managing stakeholder relationships, and fostering a culture of diversity, equity, and inclusion.

Job 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


* Sets the overall guidance and expectations for team output, practices, and collaboration


* Anticipates dependencies with other teams to deliver products and applications in line with business requirements


* Manages stakeholder relationships and the team's work in accordance with compliance standards, service level agreements, and business requirements

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering concepts and 3+ years applied experience


* 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)


* The ideal candidate will have a strong understanding of front-end and back-end technologies, with a focus on creating seamless user experiences


* 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


* Exp...