Data Engineer

• Design, implement, and maintain scalable data pipelines to support growing data processing needs.
• Perform data validation and debugging to ensure high data quality and reliability.
• Design effective data models and architectures to optimize data processing and support downstream Data Science and Machine Learning workflows.
• Implement and automate data quality checks and validation processes.
• Build integrations with diverse source systems and RESTful APIs.
• Monitor and optimize performance of data pipelines and databases.
• Debug and resolve data-related issues in a timely manner.
• Document data pipeline architectures, processes, and procedures.
• Collaborate with Product Managers, Quality Assurance, and DevOps teams to deliver high-performance, reliable software solutions.
• Use AWS/Azure services, CloudFormation, and CI/CD for deployment and infrastructure automation.

Senior Data Engineer

Staff Data Engineer

Data Engineer

Senior Data Engineer

Data Engineer

Senior Data Architect