Data Quality Engineer

Ovii's Interpretation of the Role

The Data Quality Engineer will build and maintain data quality frameworks, validation pipelines, and monitoring dashboards to ensure trustworthy data for Gradera’s AI and digital‑twin platforms. The role works closely with data engineers and architects to embed quality checks throughout ETL/ELT processes.

Role Snapshot

• Design & implement data quality frameworks
• Build automated validation pipelines
• Develop data profiling & anomaly detection
• Define and track quality metrics
• Collaborate with data engineering & architecture teams

Must-Have Requirements

• Delta Live Tables expectations
• Great Expectations
• Databricks SQL
• PySpark
• Python
• Unity Catalog

Nice-to-Have Signals

• Lakehouse architectures (Delta Lake, Iceberg)
• Real‑time data quality monitoring for streaming pipelines
• Experience with digital twin or simulation platforms
• Graph data quality validation (Neo4j or similar)
• ML data quality (feature validation, training data quality)
• Data observability platforms
• data engineering
• data quality
• Lakehouse architectures

Work Setup

• Location: Hyderabad, India
• Work mode: ONSITE
• Employment type: Full-Time

Not Specified in JD

• Salary range
• Visa sponsorship
• Remote eligibility
• Education requirement
• Certifications
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Create and maintain declarative data quality rules using Delta Live Tables and Great Expectations
• Automate validation checks at ingestion and transformation stages
• Profile data to surface distributions, patterns, and anomalies
• Track completeness, accuracy, consistency, timeliness, and validity metrics
• Build dashboards and alerts for proactive quality issue detection
• Partner with data engineers to embed quality checks in ETL/ELT pipelines
• Work with data architects to define governance policies and standards
• Investigate root causes of data quality incidents and document remediation steps

Good Fit If You Have

• Enjoys turning data quality challenges into measurable improvements
• Comfortable collaborating across agile, cross‑functional teams
• Interest in AI‑driven platforms and digital‑twin simulations