Manager, Data Operations

About McDonalds in India 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 McDonalds One of the worlds largest employers with locations in more than 100 countries McDonalds 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 Position Summary Data Quality Engineering Support Manager Data Operations Management As the Data Quality Engineering Support Manager you will be responsible for implementing scaling and supporting enterprise-wide data quality frameworks across cloud-native data platforms You will drive hands-on initiatives to monitor validate and reconcile data across ingestion processing and consumption layersenabling trusted data for analytics AI ML and operational workflows This role requires a blend of technical depth platform expertise e g BigQuery Redshift GCP AWS and collaboration across engineering governance and product teams Who we are looking for Primary Responsibilities Data Quality Engineering Monitoring 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 Data Quality Operations 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 Cloud Platform Integration Deploy scalable data quality monitoring solutions across GCP BigQuery Cloud Storage and AWS Redshift S3 Glue Leverage platform-native services and third-party tools for automated profiling rule enforcement and anomaly detection Governance Alignment Partner with data governance teams to align quality rules with business glossary terms reference data and stewardship models Integrate quality metadata into governance tools such as Collibra enabling lineage and audit tracking Documentation Enablement Collaboration 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 Skill 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 e g null checks duplicates data drift schema mismatches SQL and Python for quality validation and automation Working with cloud-native data stacks BigQuery Redshift GCS S3 Data quality monitoring tools or frameworks e g Dataplex Lightup Collibra Strong troubleshooting skills across distributed data systems and pipelines Bachelors degree in Computer Science Information Systems or related field Preferred Experience Experience in Retail or Quick Service Restaurant QSR environments with high-volume data ingestion and reporting requirements Familiarity with data governance platforms e g Collibra and integration of quality rules into metadata models Exposure to AI ML data pipelines and the impact of data quality on model performance Current GCP Associates or Professional Certification Work location Hyderabad India Work hours Work pattern Full time role Work mode Hybrid Additional Information McDonalds is committed to providing qualified individuals with disabilities with reasonable LG1 accommodations to perform the essential functions of their jobs McDonalds provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex sex stereotyping pregnancy including pregnancy childbirth and medical conditions related to pregnancy childbirth or breastfeeding race color religion ancestry or national origin age disability status medical condition marital status sexual orientation gender gender identity gender expression transgender status protected military or veteran status citizenship status genetic information or any other characteristic protected by federal state or local laws This policy applies to all terms and conditions of employment including recruiting hiring placement promotion termination layoff recall transfer leaves of absence compensation and training McDonalds Capability Center India Private Limited McDonalds in India is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture At McDonalds in India employment decisions are based on merit job requirements and business needs and all qualified candidates are considered for employment McDonalds in India does not discriminate based on race religion colour age gender marital status nationality ethnic origin sexual orientation political affiliation veteran status disability status medical history parental status genetic information or any other basis protected under state or local laws Nothing in this job posting or description should be construed as an offer or guarantee of employment