# Supervisor, Data Operations & Management at McDonalds in…

> Source: https://confidential.careers/job-detail/supervisor-data-operations-management-mcdonalds-in-india-hyderabad

# Supervisor, Data Operations & Management

McDonalds in India 

** Hyderabad, India ** Full Time ** Data & Analytics Jobs ** India ** New

[Apply Now](https://confidential.careers/go/8922378) ** Save 

## Job Description

**Experience Range:**

- 4 - 7 years

**About the Role:**

**We 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 environment and has a proven track record of managing, monitoring, and optimizing complex data pipelines and platforms.

**Work Shift:**

- The role requires flexibility for either a 5:00 am 2:00 pm or 2:00 pm 11:00 pm shift.

**Key Responsibilities:**

- Manage, monitor, and optimize global data pipelines and cloud-based data platforms on GCP.
- Provide 24x7 support for data operations, including on-call rotation during off-hours, weekends, and holidays.
- Serve as a primary point of contact for stakeholders, translating business requirements into operational solutions.
- Hands-on development and operational support using ELT/ETL tools such as dbt and orchestration tools like Airflow.
- 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.
- Work with streaming and messaging systems such as Confluent and API management platforms like Gravitee.
- Develop and maintain dashboards and reports in Tableau, MicroStrategy, Power BI, and other BI tools.
- Utilize Google Cloud Monitoring & Logging to ensure reliability, availability, and performance of data pipelines.
- Oversee vendor management related to data operations and platform services.
- Track and resolve incidents through ServiceNow, manage tasks in Jira, and maintain documentation in Confluence.
- Collaborate with cross-functional teams to identify areas of improvement, automation, and operational efficiency.

**Required Qualifications:**

- 37 years of experience in data operations, preferably in a global data platform environment.
- Hands-on experience with GCP and related services as listed above.
- Experience with dbt, Airflow, and ELT processes.
- Strong SQL skills and experience with Cloud SQL and BigQuery.
- Proven experience in 24x7 operational support and on-call rotations.
- Excellent communication skills and experience interacting with stakeholders and customers.
- Familiarity with ServiceNow, Jira, Confluence, and ticketing/incident management workflows.
- Experience with data visualization tools like Tableau, MicroStrategy, Power BI.
- Vendor management experience.

**Preferred Qualifications:**

- GCP certifications (e.g., Professional Data Engineer, Associate Cloud Engineer).
- Experience with streaming, messaging, and event-driven architectures.
- Exposure to Dataplex, Cloud Monitoring & Logging, and serverless compute platforms.

**Skills & Competencies:**

- Strong analytical and problem-solving skills.
- Ability to manage multiple priorities in a high-pressure environment.
- Detail-oriented and committed to operational excellence.
- Proactive, with a collaborative approach to cross-team engagement.
- Strong customer service orientation.

**Why Join Us:**

- Opportunity to work on a global-scale data platform.
- Exposure to cutting-edge GCP technologies and modern data architectures.
- Collaborative, inclusive, and innovative team environment.
- Competitive compensation, benefits, and opportunities for professional growth.

Posted August 12, 2026
