Manager, Data Operations & Management

As a Data Quality Engineering Support Manager at McDonald's Corporation in Hyderabad, your role involves implementing, scaling, and supporting enterprise-wide data quality frameworks across cloud-native data platforms. You will drive initiatives to monitor, validate, and reconcile data for analytics, AI/ML, and operational workflows, ensuring trusted data across ingestion, processing, and consumption layers. **Key Responsibilities:** - Implement and support automated data quality checks for accuracy, completeness, timeliness, and consistency across datasets. - Develop validation frameworks for ingestion pipelines, curated layers, and reporting models in platforms like BigQuery and Redshift. - Integrate data quality controls into CI/CD pipelines and orchestration tools (e.g., Airflow, Cloud Composer). - Respond to and resolve data quality incidents and discrepancies across data domains and systems. - Collaborate with engineering and product teams to implement root cause analysis and build long-term remediation strategies. - Establish SLAs and alerting thresholds for data quality KPIs. - Deploy scalable data quality monitoring solutions across GCP (BigQuery, Cloud Storage) and AWS (Redshift, S3, Glue). - Partner with data governance teams to align quality rules with business glossary terms, reference data, and stewardship models. - Maintain playbooks, documentation, and automated reporting for quality audits and exception handling. - Collaborate with data owners, analysts, and data product teams to promote a culture of data trust and shared ownership. - Provide training and knowledge-sharing to enable self-service quality monitoring and issue triaging. **Qualifications Required:** - 5+ years of experience in data quality engineering, data operations, or data pipeline support, ideally in a cloud-first environment. - Hands-on expertise in building and managing data quality checks, SQL, Python, cloud-native data stacks (BigQuery, Redshift, GCS, S3), data quality monitoring tools or frameworks, and troubleshooting skills across distributed data systems. - Bachelor's degree in Computer Science, Information Systems, or related field. - Preferred experience in Retail or Quick Service Restaurant environments, familiarity with data governance platforms, exposure to AI/ML data pipelines, and current GCP Certification. Join McDonald's in Hyderabad, India for a full-time hybrid role where you will play a crucial part in ensuring data quality across various platforms and systems.,