Website:
talent500.com
Job details:
About McDonald’s:
One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.
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.
Experience Range:
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:
- 3–7 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.
Click on Apply to know more.
.png1515730801002){kind=logo}