Software Engineer III - Data Engineer

Job Description
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 Consumer & Community Banking, 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.
• Utilize Python for data processing and transformation tasks, ensuring efficient and reliable data workflows.
• Implement data orchestration and workflow automation using Apache Airflow.
• Deploy and manage containerized applications using Kubernetes (EKS) and Amazon ECS.
• Use Terraform for infrastructure provisioning and management, ensuring a robust and scalable data infrastructure.
• Develop and optimize data models to support business intelligence and analytics requirements.
• Work with graph databases to model and query complex relationships within data.
• Create and maintain interactive and insightful reports and dashboards using Tableau to support data-driven decision-making.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
• Implement AWS enterprise solutions, including Redshift, S3, EC2, Data Pipeline, and EMR, to enhance data processing capabilities.
• Work hands-on with SPARK to manage and process large datasets efficiently.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on practical experience programming skills in Python, with basic knowledge of Java.
• Experience with Apache Airflow for data orchestration and workflow management.
• Familiarity with container orchestration platforms such as Kubernetes (EKS) and Amazon ECS.
• Experience with Terraform for infrastructure as code and cloud resource management.
• Proficiency in data modeling techniques and best practices.
• Exposure to graph databases and experience in modeling and querying graph data.
• Experience in creating reports and dashboards using Tableau.
• Experience with AWS enterprise implementations, including Redshift, S3, EC2, Data Pipeline, and EMR.
• Hands-on experience with SPARK and managing large datasets.
• Experience in implementing ETL transformations on big data platforms, particularly with NoSQL databases (MongoDB, DynamoDB, Cassandra).

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Exposure to cloud technologies