JPMorgan Software Engineer III – Python Data Cloud 

India, Karnataka, Bengaluru 

152701568

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

• Builds end-to-end modern data pipelines and solutions, migrating data products to cloud-native platforms

• Designs and implements data engineering solutions, leveraging modern big data technologies

• Contributes to software engineering communities of practice and events that explore new and emerging technologies

• Adds to team culture of diversity, equity, inclusion, and respect

• Embraces a passion for learning, problem-solving, creative thinking and a can-do attitude

Required qualifications, capabilities, and skills

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

• Hands-on practical experience in system design, application development, testing, and operational stability

• Proficient in coding in one or more languages (Python preferably)

• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages

• Proven track record in system design, architecting and developing microservices, distributed systems and data-intensive applications

• Experience with Cloud services, Infrastructure as Code, containerized application development, big data and modern data engineering technologies

• Practical experience developing Production-scale Cloud-native data engineering solutions in commercial environments

• Familiarity with Cloud Data engineering services (e.g., ETL, Glue, S3, Athena, RedShift)

• Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds

Preferred qualifications, capabilities, and skills

• Experience with data and application migration to AWS in commercial settings

• Familiarity with data quality, observability and lineage tooling

• Experience collaborating with data analysts, reporting teams or business analysts

• Familiarity with modern Business Intelligence and reporting tools