Cloud-Native Data Quality Engineer

5 days ago

Hyderabad, Telangana, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

About us: As one of the world's largest employers with a global presence in over 100 countries, we have opportunities for talent acquisition and expertise expansion across various regions.

We seek a Data Quality Engineering Support Manager to develop and scale data quality frameworks for cloud-native data platforms across our enterprise.

Key Responsibilities:
  • Implement 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.
  • 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).
  • 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, enabling lineage and audit tracking.
Requirements:
  • 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 and Python for quality validation and automation, working with cloud-native data stacks, and data quality monitoring tools or frameworks.

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