Senior Data Engineering Analyst

Primary Responsibilities:

• Data & Platform Engineering:
• Design, build, and maintain scalable, fault-tolerant data pipelines in a cloud-native environment
• Own end-to-end development of data ingestion, processing, and transformation systems used by downstream services
• Implement efficient data models and storage patterns in modern data warehouses and operational databases
• Production Systems & Applications:
• Develop and maintain production-grade backend services that power data workflows
• Build and expose data services and APIs for secure, reliable access across engineering systems
• Ensure high availability, low latency, and resilience of data-driven applications
• Workflow Orchestration & Reliability:
• Design and operate workflow orchestration frameworks to schedule and manage complex data workloads
• Implement robust error handling, retries, monitoring, and alerting for production pipelines
• Troubleshoot and resolve performance issues in live systems
• Cloud & DevOps Engineering:
• Deploy and operate data systems using cloud infrastructure, containers, and automated CI/CD pipelines
• Apply Infrastructure-as-Code and automation best practices for repeatable deployments
• Optimize cloud resources for performance, cost, and operational efficiency
• Engineering Excellence & Collaboration:
• Participate in system design reviews and contribute to architecture decisions
• Write clean, maintainable, and well-tested code following engineering best practices
• Mentor junior engineers and raise the overall engineering maturity of the team