
Data Quality Engineer
3 days ago
Manager, Data Operations & Management T500-20082
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).
Skills and Qualifications:
- 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.
- Bachelor's degree in Computer Science, Information Systems, or related field.
Benefits:
McDonald's is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald's provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, race, 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.
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