Devops Engineering Lead Job at Vodafone (Pune)

Job Responsibility

Ensure the smooth daily health and availability of ETL batch processing using Ab Initio and Teradata Vantage on GCP (L2 production support)
Troubleshoot and resolve issues in DWH and BI production ETL jobs within agreed SLAs
Provide deployment support for new and enhanced applications across the data platform
Coordinate closely with project managers, development, testing, and cross-functional teams to support delivery and operations
Manage incidents and service requests by updating Remedy tickets in line with defined processes and SLAs
Provide on-call support for daily batch jobs during night and weekend windows, as required
Drive automation, innovation, and continuous improvement across existing operational processes
Identify and implement performance improvements for ETL jobs and platform components
Work on Google Cloud initiatives including proof-of-concepts, IAM management, virtual machines, and Kubernetes
Demonstrate strong leadership by guiding team members and ensuring operational standards and KPIs are consistently met

8+ years of experience supporting Ab Initio, Teradata and/or Oracle platforms in production environments
Strong hands-on experience with Unix and SQL for troubleshooting and operational support
Practical experience managing and supporting workloads on Google Cloud Platform (GCP)
At least 2 years of experience in a leadership or team-handling role
Good understanding of deployment support, batch operations, and service availability management
Exposure to ITIL practices, including Incident and Service Request Management
Strong analytical, diagnostic, and problem-solving skills
Clear and effective verbal and written communication skills in English

Opportunity to lead operations for enterprise-scale Data & Analytics platforms on Google Cloud
Exposure to modern cloud technologies alongside established data engineering tools
A role with strong ownership over production stability, performance, and service quality
Collaboration with global teams across Data, Engineering, and Operations