Full-stack Engineer

• Design and develop reusable and scalable data processing frameworks and libraries for data ingestion, processing, and ETL pipelines on AWS alongside the platform development team
• Collaborate closely with framework developers, data engineers, architects, and analysts to standardize data pipelines and processing patterns
• Develop and enhance Debezium Kafka CDC pipeline frameworks to enable rapid instantiation of CDC data ingestion workflows
• Build and maintain AWS Glue PySpark job frameworks aligned with medallion architecture principles
• Implement and maintain ETL frameworks for loading data into Snowflake
• Develop Infrastructure as Code using Terraform and Github to automate provisioning and deployment of platform components
• Ensure platform reliability, scalability, and observability
• Contribute to improving development standards, code reviews, and best practices focused on framework and platform engineering

Technical Lead – Data Engineering

Lead Engineer – Materials Engineering

Senior Software Engineer

Senior Technical Lead – Data Engineering

Technical Lead – Enterprise VBCS