We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Software Engineer III at JPMorgan Chase within the Commercial and Investment Bank, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics. Frequently utilizes SQL and understands NoSQL databases and their niche in the marketplaceImplement best practices for data engineering, ensuring data quality, reliability, and performanceContribute to data modernization efforts by leveraging cloud solutions and optimizing data processing workflowsPerform data extraction and implement complex data transformation logic to meet business requirementsMonitor and executes data quality checks to proactively identify and address anomaliesEnsure data availability and accuracy for analytical purposesIdentify opportunities for process automation within data engineering workflowsDeploy and manage containerized applications using Kubernetes (EKS) and Amazon ECS.Implement data orchestration and workflow automation using  AWS step , Event Bridge Use Terraform for infrastructure provisioning and management, ensuring a robust and scalable data infrastructure.

Required qualifications, capabilities, and skills

Formal training or certification on Data Engineering concepts and 3+ years applied experienceExperience across the data lifecycleExperience working with modern Lakehouse : Databricks )Proficient in SQL coding (e.g., joins and aggregations) Experience in Micro service based component using ECS or EKS Working understanding of NoSQL databasesExperience in building and optimizing data pipelines, architectures, and data sets ( Glue or Data bricks etl) Proficienct in object-oriented and object function scripting languages (Python etc.)Experience in developing ETL process and workflows for streaming data from heterogeneous data sourcesExperience building Pipeline on AWS using Terraform and  using CI/CD pipelines 

Preferred qualifications, capabilities, and skills
 Advanced knowledge of RDBMS like AuroraExperience with data pipeline and workflow management tools (Airflow, etc.)Strong analytical and problem-solving skills, with attention to detail.Ability to work independently and collaboratively in a team environment.A proactive approach to learning and adapting to new technologies and methodologies.