Job Title-

Data Analyst/Data Quality Engineer

This role requires ensuring the integrity and reliability of
enterprise data ingestion processes across critical healthcare platforms. This
role is pivotal in establishing and maintaining data quality standards,
validating data flows, and ensuring our data pipelines deliver trusted
information to downstream consumers and business stakeholders.

You will work at the intersection of data engineering,
quality assurance, and business analysis—translating technical data flows into
business value while ensuring accuracy, completeness, and reliability across
our data ecosystem.

Key Responsibilities
Validate ingested data
against business rules, technical specifications, and quality standards
Conduct data profiling
and analysis to identify quality issues, anomalies, and improvement
prospects
Perform data
reconciliation activities to ensure accuracy and completeness across
systems
Validate data
transformations and dimensional modeling implementations
Design and implement




automated testing frameworks for data pipelines and ingestion processes
Develop comprehensive
test strategies covering functional, performance, and regression scenarios
Build reusable
validation utilities and quality check libraries
Ensure testing
frameworks align with CI/CD practices and engineering standards
Monitor data pipeline
health and proactively identify quality degradation or failures
Investigate and resolve
data quality incidents including root cause analysis
Establish alerting and
notification mechanisms for quality issues
Document issues,
patterns, and resolutions for continuous improvement
Track and report on data
quality metrics, SLAs, and key performance indicators
Analyze downstream
impact of data quality issues on business operations
Generate quality reports
and feedback mechanisms for rejected or problematic data
Collaborate with
technical and business teams to define and refine quality requirements

📌 Data Quality Analyst Hyderabad
🏢 Genzeon Global
📍 Hyderabad