High Salary Apache Airflow Engineer

4 weeks ago

Bengaluru, Karnataka, India Maneva Consulting Private Limited Full time
Job Description

Greetings from Maneva

Job Description

Job Title-Apache Airflow Engineer

Experience- 3-10 days

Location-Bangalore

Notice-Immediate to 15 days

Requirements:-

As a Senior Engineer with a focus on Managed Airflow Platform (MAP) support engineering.

- Evangelize and cultivate adoption of Global Platforms, open-source software and agile principles within the organization
- Ensure solutions are designed and developed using a scalable, highly resilient cloud native architecture
- Ensure the operational stability, performance, and scalability of cloud-native platforms through proactive monitoring and timely issue resolution
- Diagnose infrastructure and system issues across cloud environments and Kubernetes clusters, and lead efforts in troubleshooting and remediation
- Collaborate with engineering and infrastructure teams to manage configurations, resource tuning, and platform upgrades without disrupting business operations
- Maintain clear, accurate runbooks, support documentation, and platform knowledge bases to enable faster on boarding and incident response.
- Support observability initiatives by improving logging, metrics, dashboards, and alerting frameworks.
- Advocate for operational excellence and drive continuous improvement in system reliability, cost-efficiency, and maintainability.
- Work with product management to support product / service scoping activities.
- Work with leadership to define delivery schedules of key features through an agile framework.
- Be a key contributor to overall architecture, framework and design of global platforms.

Required Qualifications

- Bachelor's or Master's degree in Computer Science or a related field.
- 3+ years of experience in large-scale production-grade platform support, including participation in on-call rotations.
- 3+ years of hands-on experience with cloud platforms like AWS, Azure, or GCP.
- 2+ years of experience developing and supporting data pipelines using Apache Airflow including:
- DAG lifecycle management and scheduling best practices.
- Troubleshooting task failures, scheduler issues, performance bottlenecks managing and error handling
- Strong programming proficiency in Python, especially for developing and troubleshooting RESTful APIs
- Working knowledge of Node.js is considered an added advantage.
- 1+ years of experience in observability using the ELK stack (Elasticsearch, Log stash, Kibana) or Grafana Stack.
- 2+ years of experience with DevOps and Infrastructure-as-Code tools such as GitHub, Jenkins, Docker, and Terraform.
- 2+ years of hands-on experience with Kubernetes, including managing and debugging cluster resources and workloads within Amazon EKS.
- Exposure to Agile and test-driven development a plus.
- Experiencedeliveringprojectsinahighlycollaborative,multi-disciplinedevelopmentteam environment.

Desired Qualifications

- Experience with participating in projects in a highly collaborative, multi-discipline development team environment.
- Exposure to Agile, ideally a strong background with the SAFe methodology.
- Skill set on any monitoring or observability tool will be a value add.

If you are excited to grab this opportunity, please apply directly or share your CV at[HIDDEN TEXT]and[HIDDEN TEXT]

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