Data Quality Engineer

Must Have Technical/Functional Skills

• 08+ years of experience in data quality engineering.
• Proven experience building automated data quality solutions at scale.
• Design and implement automated data quality rules, checks, and controls across batch and real‑time data pipelines.
• Define and operationalize data quality dimensions (accuracy, completeness, consistency, timeliness, uniqueness, validity).
• Perform data profiling and data assessments for new and existing datasets.
• Define data quality thresholds, KPIs, and scorecards aligned with business criticality.
• Build reusable data quality frameworks integrated into CI/CD and data orchestration workflows.
• Engineer scalable validation mechanisms for structured, semi‑structured, and streaming data.
• Strong SQL and advanced experience with at least one programming language (Python, Scala, or Java).
• Experience with cloud data platforms (Azure, AWS, or GCP) and modern data stacks.
• Nice to have: Experience with data orchestration tools (Airflow, Data Factory, dbt, etc.).
• Good to have Google Cloud understanding

Salary Range: $150,000 to $170,000 per year