Manager, Data Operations & Management

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 7 months ago
5-9 years
Hyderabad, Telangana
Work from Office

Posted: 7 months ago
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Applicants: 149+
Job Description
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Job Description

    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.

    Looking to get Placed? Try our Placement Guarantee Plan


    **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.,

Skills

PythonData GovernanceReference DataRoot Cause AnalysisAi/mlAnalyticsData ProductAiMlSqlSQLS3PythonGCSData Quality EngineeringData Pipeline SupportRedshiftData Quality MonitoringData OperationsBigQueryTroubleshooting

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About Company

McDonald's Corporation is an American multinational fast-food corporation, founded in 1940, and headquartered in Chicago, Illinois. It has the world's largest restaurant chain by revenue, serving over 69 million customers daily in over 100 countries across the globe.

Important dates & deadlines?

Application Deadline

26 Oct 25, 11:17 AM IST

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