JPMorgan Software Engineer II - Data Analytics Developer 

India, Maharashtra, Mumbai 

679313918

Job responsibilities

• Executes standard software solutions, design, development, and technical troubleshooting
• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
• Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
• Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
• Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 2+ years applied experience
• Hands on coding with Python, AWS Services (like Lambda, Glue, ECS, Lake Formation, SNS, SQS, S3, Step functions etc.), Terraform, Snowflake and Starburst.
• Knowledge of Table Formats like Iceberg and file formats like JSON, Avro, parquet is required.
• Must have hands-on experience in agile methodologies and building pipelines adhering to CI/CD.
• Must have solid understanding of Application Resiliency, Security.
• Hands-on practical experience in system design, object-oriented development using common design patterns, automated testing, and ensuring operational stability.
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages like SQL.
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Experience across the whole Software Development Life Cycle
• Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Knowledge of Databricks, Kafka and Kubernetes would be preferable.
• Demonstrable ability to code in one or more languages
• Hand-on Knowledge of ML Ops will be an added advantage.
• Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)