Senior Data Engineer
USD 125K-173K Senior-level Full Time
Tasks
- Automate infrastructure with Terraform
- Build and maintain batch and streaming jobs with Databricks
- Build data engineering pipelines and backend services
- Deploy and manage services on Azure Kubernetes Service
- Design and develop microservices with Java
- Design and optimize relational data models and databases
- Develop real time data processing with Kafka and event hub
- Drive engineering best practices and documentation
- Implement CI/CD pipelines with GitHub Actions
- Implement cron and event driven orchestration services
- Implement observability with Prometheus and Datadog
- Manage GitOps deployments with ArgoCD
- Optimize performance reliability and scalability
- Troubleshoot production issues and perform root cause analysis
Perks/Benefits
- N/A
Skills/Tech-stack
AKS | ArgoCD | Azure | Azure Event | Azure Event Hub | Azure Kubernetes | Azure Kubernetes Service | CI/CD | Databricks | Datadog | Docker | Event Driven | Event Hub | Event-driven architecture | GitHub Actions | GitOps | Infrastructure as Code | Java | Kafka | Kubernetes | Kubernetes Service | Load Testing | Microservices | Observability | Performance Tuning | PostgreSQL | Prometheus | Quarkus | Query Optimization | REST APIs | Relational databases | SLI | SLO | Schema Design | Spring Boot | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Engineering in Software Engineering | Bachelor of Science | Bachelor of Science in Computer Science
Roles
Backend | Backend Developer | Data Engineer | Developer | Engineer | Software Engineer
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