Software Engineer III - PySpark/Databricks
Software Engineer III - PySpark/Databricks
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Job Description
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 teams 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 DatabricksData engineering (Job Runs Data Ingestion and Delta Live Tables Spark Streaming)
- Experienced in standing up and maintaining EC2 instances Kubernetes clusters and Lambda services
- 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.
Preferred qualifications capabilities and skills
- Exposure to cloud technologies
- Expertise in Javaand Reactto design develop and maintain high-quality web applications
Employment Type
Full-Time
