Software Engineer III - AWS Glue

JPMorganChase • Columbus, OH

5d

About The Position

Description Push the limits of what’s possible with us as an experienced member of our Software Engineering team. As an Experienced Software Engineer at JPMorganChase within the Global Technology team, you serve as member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. Depending on the team that you join, you could be developing mobile features that give our customers and clients more control over how they bank with us, strategizing on how big data can make our trading systems quicker, creating the next innovation in payments for merchants, or supporting the integration of our private and public cloud platforms. Job Responsibilities Participates in, design and develop scalable and resilient systems using AWS ETL to contribute to continual, iterative improvements for product teams Executes software solutions, design, development, and technical troubleshooting Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces or contributes to architecture and design artifacts for applications while 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 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 Adds to team culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills Hands-on practical experience in system design, application development, testing and operational stability Proficient in coding in Glue, EMR Proficient in SQL/NoSQL databases Exposure to AWS cloud technologies Overall knowledge of the Software Development Life Cycle Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, etc.) Proficient in application development skills for more than one Cloud and Traditional Data Engineering technology including AWS Services like Glue, EMR, data warehouse. Recent experience developing data ingestion from on premise applications to private cloud AWS using related services like S3, Lambda, SQS, Event Bridge, Glue/Glue Studio/Glue workflows/Glue Data Catalogue, Cloud watch, Aurora MySQL/PostgreSQL databases, and EMR with Python /Pyspark Good understanding of KMS and IAM services. Experience in comprehensive analysis and design experience with demonstrated knowledge of RDMS systems like Oracle, good in writing and understanding SQL, PL/SQL constructs. Qualification: Bachelor’s Degree in MIS, Computer Science, or Engineering. Strong communication skills with demonstrated experience coordinating development cycles and project management. Preferred Qualification, Capabilities and Skills Working proficiency in a selection of software engineering disciplines and demonstrates understanding of overall software skills including business analysis, development, testing, deployment, maintenance and improvement of software. Experience in working with streaming services like Kafka/AWS MSK/Confluent Kafka or equivalent services. Has knowledge in CI/CD process in AWS Cloud environments, has hands on experience on any of the Infrastructure as Code service (Iac) like Terraform, Cloud Formation etc. Has knowledge in QuickSight, Sigma, Knowledge Graphs, GraphDB

Requirements

• Hands-on practical experience in system design, application development, testing and operational stability
• Proficient in coding in Glue, EMR
• Proficient in SQL/NoSQL databases
• Exposure to AWS cloud technologies
• Overall knowledge of the Software Development Life Cycle
• Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, etc.)
• Proficient in application development skills for more than one Cloud and Traditional Data Engineering technology including AWS Services like Glue, EMR, data warehouse.
• Recent experience developing data ingestion from on premise applications to private cloud AWS using related services like S3, Lambda, SQS, Event Bridge, Glue/Glue Studio/Glue workflows/Glue Data Catalogue, Cloud watch, Aurora MySQL/PostgreSQL databases, and EMR with Python /Pyspark
• Good understanding of KMS and IAM services.
• Experience in comprehensive analysis and design experience with demonstrated knowledge of RDMS systems like Oracle, good in writing and understanding SQL, PL/SQL constructs.
• Qualification: Bachelor’s Degree in MIS, Computer Science, or Engineering.
• Strong communication skills with demonstrated experience coordinating development cycles and project management.

Nice To Haves

• Working proficiency in a selection of software engineering disciplines and demonstrates understanding of overall software skills including business analysis, development, testing, deployment, maintenance and improvement of software.
• Experience in working with streaming services like Kafka/AWS MSK/Confluent Kafka or equivalent services.
• Has knowledge in CI/CD process in AWS Cloud environments, has hands on experience on any of the Infrastructure as Code service (Iac) like Terraform, Cloud Formation etc.
• Has knowledge in QuickSight, Sigma, Knowledge Graphs, GraphDB

Responsibilities

• Participates in, design and develop scalable and resilient systems using AWS ETL to contribute to continual, iterative improvements for product teams
• Executes software solutions, design, development, and technical troubleshooting
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces or contributes to architecture and design artifacts for applications while 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
• 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
• Adds to team culture of diversity, opportunity, inclusion, and respect

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees