Senior Data Quality Engineer I

UnitedHealth Group; Hyderabad; On-site; INR 1,400,000 - 2,800,000; Full time

Job summary

UnitedHealth Group seeks a Senior Data Quality Engineer to design, implement, and validate data quality across Azure Databricks and related data platforms. You will build automation frameworks and work within Agile teams to ensure end-to-end data accuracy and reliability.

The role focuses on data quality checks, reconciliation, and CI/CD integration, working in a cloud-based data ecosystem to support health outcomes and operational excellence.

Qualifications

• Experience building automation frameworks using Python.
• Experience in validation similar to DVP or other frameworks.
• Expert-level SQL for validation and defect analysis.
• Experience with data warehouse / ETL / BI testing (Power BI).
• API testing experience and metadata validation.
• Exposure to enterprise-scale cloud data platforms (Azure).
• Knowledge of CI/CD and DevOps testing models (GitHub).
• Solid understanding of STLC, Agile, and SDLC.
• Exposure to Selenium or UI automation principles.

Responsibilities

• Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms.
• Design and execute data quality, data validation, and regression testing across layers.
• Build and maintain automated validation frameworks using Python and SQL.
• Perform source-to-target reconciliation, metadata validation, and business rule checks.
• Validate data across ADF, Databricks, Azure Data Lake, Azure SQL, and Power BI.
• Identify and analyze data quality defects and perform root cause analysis.
• Embed data quality checks into CI/CD pipelines using GitHub and Jenkins.
• Collaborate with data engineers and analysts in Agile/Scrum environments.
• Ensure compliance with employment contracts and company policies.

Skills

Python automation

SQL proficiency

Data quality engineering

CI/CD testing

Agile/Scrum

Root cause analysis

Selenium/UI automation

ETL/BI testing

Regression testing

Education

Undergraduate degree or equivalent

Tools

GitHub

Jenkins

Power BI

Azure Databricks

Azure Data Factory (ADF)

Azure Data Lake

Azure SQL

Azure Blob Storage

Job description

Primary Responsibilities:

Builder Responsibilities:

Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making.

• Design and execute data quality, data validation, and regression testing across ingestion, transformation, and reporting layers
• Build and maintain custom automated data validation frameworks (DVP-like) using Python and SQL
• Perform source-to-target reconciliation, metadata validation, and business rule checks
• Validate data across ADF, Databricks, Azure Data Lake, Azure SQL, and Power BI
• Identify, analyse, and perform root cause analysis of data quality defects
• Write complex SQL queries for data validation and defect identification
• Create and manage test data aligned with functional and technical requirements
• Ensure requirement-to-test-case traceability for SIT and regression cycles
• Embed data quality checks into CI/CD pipelines using GitHub and Jenkins
• Collaborate with data engineers and analysts in Agile/Scrum environments
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• Undergraduate degree or equivalent experience
• 6+ years of experience in Data Quality Engineering . Data Automation Test Engineer
• Solid experience with:
  • Experience building automation frameworks using Python
  • Experience in Validation similar to DVP and or other custom automation framework
  • Experience in Data Warehouse / ETL / BI (Power BI) testing
  • API testing experience
  • Experience with metadata, lineage, and audit validation
  • Experience working on enterprise-scale cloud data platforms
  • Azure Databricks
  • Azure Data Factory (ADF)
  • Azure Data Lake, Azure SQL, Azure Blob Storage
  • Expert-level SQL for validation, reconciliation, and defect analysis
  • Knowledge of CI/CD and DevOps testing models (GitHub)
  • Solid understanding of STLC, Agile, and SDLC
  • Exposure to Selenium or UI automation concepts

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

#NIC

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

We are seeking a Senior Data Quality Engineer with solid experience in enterprise data platforms, cloud data engineering, and automated data quality validation, Automation and Regression testing. The role focuses on ensuring end‑to‑end data accuracy, consistency, and reliability across Azure and Databricks-based data ecosystems through robust automation and validation frameworks.