JPMorgan Lead Software Engineer - AWS Redshift Python 

India, Maharashtra, Mumbai 

627998811

Job Responsibilities

• Lead execution of software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
• Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems.
• Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
• Identify hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture.
• Contribute to software engineering communities of practice and events that explore new and emerging technologies.
• Adds to team culture of diversity, equity, inclusion, and respect.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Proficient in columnar database technologies like Vertica, Redshift. Strong understanding of relational databases e.g. Postgres
• Hands on experience of Redshift architecture and db design
• AWS pipeline knowledge to setup ETL
• Experience with parallel query optimization and execution, large scale data analytics and data storage replication.
• Experience with development, deployment, and support of large-scale distributed applications in a mission-critical production environment.
• Proficient in coding in Python, and Object-Oriented Programming
• Hands on experience on Terraform & data modelling
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
• Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)