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DATA ENGINEER at Vodafone United States

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

27 Mar, 26

Salary

0.0

Posted On

27 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Infrastructure, Data Processing, Kubernetes, AirborneRF, Security Hardening, Automation, Batch Processing, Incident Management, Unix, SQL, ITIL, Unix Scripting, Communication Skills, Analytical Skills, Problem-Solving, Team Player

Industry

Telecommunications

Description

Monitor health checks and performance of cloud infrastructure (GCP/Azure/AWS). Debug and resolve issues in data processing workflows. Maintain Kubernetes clusters and fix pod/node issues. Execute and supervise AirborneRF data imports and customer notifications. Implement security hardening measures and manage access rights. Drive automation to optimise existing jobs and adhere to SLA/KPI targets. Handle daily batch processing and provide RFC reviews for deployments. Manage incidents, update Remedy tickets, and offer on-call support for P1/P2 cases. Support migration activities to newer platforms and coordinate with cross-functional teams. Essential: 5-6 years' experience as a Cloud Engineer. Strong knowledge of cloud platforms and hands-on experience with Unix/SQL. Graduate/Postgraduate in Computer Science, IT, or related technical field. Desired: ITIL skills and Unix scripting experience. Behavioural: Excellent communication skills (written and verbal). Ability to respond quickly to issues and proactively highlight risks. Strong analytical and problem-solving skills. Team player with experience in large global organisations. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.

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Responsibilities

Monitor the health checks and performance of cloud infrastructure while debugging and resolving issues in data processing workflows. Maintain Kubernetes clusters, execute data imports, and manage incidents while supporting migration activities.