Data Quality Engineer

22 hours ago

Hyderabad, Telangana, India beBeeData Full time US$ 90,000 - US$ 1,20,000

Job Summary:

We are seeking a seasoned professional to join our team as a Data Quality Engineering Support Manager. As a key member of our organization, you will play a critical role in implementing and scaling enterprise-wide data quality frameworks across cloud-native data platforms.

This is an exciting opportunity for someone who thrives in a fast-paced environment and has a passion for data quality engineering, data operations, or data pipeline support. You will have the chance to work with cutting-edge technologies and collaborate with cross-functional teams to drive business growth and improve customer satisfaction.

About the Role:

The successful candidate will be responsible for developing and implementing automated data quality checks for accuracy, completeness, timeliness, and consistency across datasets. They will also work closely with engineering and product teams to integrate data quality controls into CI/CD pipelines and orchestration tools.

You will be expected to establish strong relationships with stakeholders and communicate effectively to ensure that data quality initiatives are aligned with business objectives.

Requirements:

  • Bachelor's degree in Computer Science, Information Systems, or related field.
  • 5+ years of experience in data quality engineering, data operations, or data pipeline support, ideally in a cloud-first environment.

Preferred Skills:

  • Hands-on expertise in building and managing data quality checks (e.g., null checks, duplicates, data drift, schema mismatches).
  • Strong troubleshooting skills across distributed data systems and pipelines.
  • Familiarity with cloud-native data stacks: BigQuery, Redshift, GCS, S3.

What We Offer:

  • A dynamic and inclusive work environment that fosters growth and development.
  • A competitive salary and benefits package.
  • Opportunities for professional growth and advancement.

Disclaimer:

Mcdonald's provides equal employment opportunities to all employees and applicants for employment without regard to sex, 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.

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