Job Description
Experience Range:
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- 4 - 7 yearsn

nAbout the Role:
nWe are seeking a highly skilled Data Operations Specialist with hands-on experience in Google Cloud Platform (GCP) and data operations to support our global data platform. This is a highly visible, customer-facing role requiring collaboration with internal and external stakeholders to ensure seamless, 24x7 data operations. The ideal candidate thrives in a dynamic, fast-paced workplace and has a proven track record of managing, monitoring, and optimizing complex data pipelines and platforms.
nWork Shift:
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- The role requires flexibility for either a 5:00 am 2:00 pm or 2:00 pm 11:00 pm shift.n

nKey Responsibilities:
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- Manage, monitor, and optimize global data pipelines and cloud-based data platforms on GCP.n
- Provide 24x7 support for data operations, including on-call rotation during off-hours, weekends, and holidays.n
- Serve as a primary point of contact for stakeholders, translating business requirements into operational solutions.n




- Hands-on development and operational support using ELT/ETL tools such as dbt and orchestration tools like Airflow. n
- Manage and maintain GCP services including BigQuery, Cloud Storage, Firestore, Cloud Functions, Cloud Run, Dataflow, Dataproc Serverless, Memory store, Pub/Sub, Dataplex, Cloud SQL, and other related tools. n
- Work with streaming and messaging systems such as Confluent and API management platforms like Gravitee. n
- Develop and maintain dashboards and reports in Tableau, MicroStrategy, Power BI, and other BI tools.n
- Utilize Google Cloud Monitoring & Logging to ensure reliability, availability, and performance of data pipelines.n
- Oversee vendor management related to data operations and platform services.n
- Track and resolve incidents through ServiceNow, manage tasks in Jira, and maintain documentation in Confluence. n
- Collaborate with cross-functional teams to identify areas of improvement, automation,

📌 Supervisor, Data Operations (Hyderabad)
🏢 McDonalds in India
📍 Hyderabad