JPMorgan Software Engineer 

United States, New Jersey, Jersey City 

299961223

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

• Creates a culture of diversity, equity, inclusion, and respect for the team members and prioritizes diverse representation

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ 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)

• 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

• 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.

• Exposure to cloud technologies