JPMorgan Software Engineer III - Big Data 

United States, New Jersey, Jersey City 

403516024

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
• Produces architecture and design artifacts for complex data 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 in data space
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Strong development experience in Java and Python, with expertise in developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages
• Experience in AWS technologies, including EKS, EMR, ECS, Lambdas, APIs, Redshift, S3, Athena, RDS, and OpenSearch
• Experience in Continuous Integration & Continuous Deployment processes using tools such as Jenkins and spinnaker
• Demonstrated knowledge of software applications and technical processes within Cloud technologies
• Proficient in designing and implementing scalable Big Data solutions using Hadoop, Spark, and NoSQL databases for efficient data processing and analysis
• Skilled in developing robust ETL pipelines to ingest, transform, and load data into data warehouses or lakes, ensuring data quality and integrity
• Experienced in handling batch and real-time data processing with tools like Apache Kafka for streaming and Apache Flink for real-time analytics
• Proficient in using Databricks for data engineering and analytics, including working with notebooks and managing both external and managed tables
• Knowledge of GraphQL APIs for efficient data querying and manipulation, enhancing client-server communication

Preferred qualifications, capabilities, and skills

• Knowledge of the financial services industry and their IT systems
• AWS Certification