
Data Engineer
1 day ago
We're seeking a skilled professional to drive our data pipeline efficiency and scalability.
Job SummaryThis role focuses on optimizing data workflows, implementing cloud infrastructure, and ensuring seamless data delivery across the organization.
Key Responsibilities- Data Pipeline Automation: Design, implement, and maintain CI/CD pipelines for automated data workflow deployment.
- Cloud Infrastructure Management: Develop infrastructure-as-code (IaC) templates for provisioning cloud-based data environments/resources.
- ETL Workflow Automation: Automate ETL/ELT workflow management using orchestration tools like Apache Airflow, Prefect, or AWS Step Functions.
- Pipeline Optimization: Optimize data ingestion, transformation, and processing pipelines for scalability and efficiency.
- Data Security: Manage data infrastructure in AWS, Azure, or GCP, ensuring high availability and security.
- Access Control: Implement role-based access control (RBAC), encryption, and data security best practices.
- Compliance: Collaborate with Security teams to ensure compliance with industry regulations.
- Cost Optimization: Monitor cloud costs and optimize resource usage for storage, compute, and networking.
- Monitoring and Incident Response: Develop real-time monitoring dashboards and alerts for data pipeline performance and failures.
- Observability Tools: Use observability tools such as Datadog, Prometheus, Grafana, CloudWatch etc.to track latency, errors, and throughput.
- Incident Response Workflows: Establish incident response workflows and automated rollback strategies for failures.
- Collaboration: Work with Site Reliability Engineers (SRE) and DevOps teams to maintain high system uptime and resilience.
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