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# ETL Testing Lead/Data Analysis Specialist

- **Company:** Cognizant Technology Solutions Corporation
- **Location:** Austin, TX, United States (Remote available)
- **Experience:** Expert
- **Salary:** $115,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Amazon S3, Data Analysis, Big Data, Cloud Computing, Cloud Database, Information Systems, Databases, Data Validation, Data Cleansing, Data Governance, Data Infrastructure, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Transformation, Data Profiling, Data Systems, Data Warehousing, Database Development, Database Testing, Distributed Computing Environment, Performance Tuning, Cloud Services, Standard Sql, SAS (Software), Software Testing Automation Framework, Strategies of Testing, Enterprise Data Management, Freeform SQL, Cloud Platform System, Postman, Test Scripts, Pyspark, Information Technology, Data Analytics, Health Level Seven International, Data Management, Cloudwatch, Data Pipelines, Api Management
- **Published:** August 15, 2026
- **Apply:** https://www.austinjobsite.com/job.asp?id=3354594961&tx=JP6761FFI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

The ideal candidate will possess strong expertise in ETL testing, data quality engineering, and data analysis, with hands-on experience validating large-scale data pipelines and cloud-based data platforms. This individual will collaborate closely with business stakeholders, developers, architects, and quality engineering teams to ensure high-quality, reliable, and accurate data solutions.

Healthcare industry experience is required for this role., * Bachelor's degree in Computer Science, Information Systems, Engineering, Data Analytics, or a related field, or equivalent work experience.

 * 10+ years of experience in:
 * ETL Testing
 * Data Testing
 * Data Quality Validation
 * Data Analysis
 * Strong hands-on experience with:
 * SQL
 * ICEDQ
 * AWS S3
 * BMC
 * Informatica CDI-PC
 * Informatica Intelligent Cloud Services (IICS)
 * PySpark
 * API Testing
 * Postman
 * SAS
 * AWS Athena
 * Apache Airflow
 * AWS CloudWatch
 * Strong experience performing source-to-target data validation and reconciliation.
 * Expertise in data quality engineering and data management best practices.
 * Strong analytical, troubleshooting, and problem-solving capabilities.
 * Excellent verbal and written communication skills.
 * Experience working in Agile delivery environments.
 * Healthcare industry experience.

Preferred Qualifications

 * Experience with cloud-based data lakes and modern data warehouse architectures.
 * Knowledge of data governance and master data management concepts.
 * Experience with test automation frameworks for data validation.
 * Familiarity with healthcare data standards and regulatory requirements.
 * Exposure to big data technologies and distributed data processing frameworks.
 * Experience working in large-scale enterprise data transformation programs., * ETL Testing
 * Data Quality Engineering
 * Data Management
 * Data Validation and Reconciliation
 * Data Warehousing
 * Cloud Data Platforms
 * API Testing
 * Healthcare Data Ecosystems
 * Enterprise Reporting and Analytics
 * Quality Engineering Best Practices

## Description

ETL Testing & Data Validation

 * Lead end-to-end ETL testing activities across enterprise data integration programs.
 * Validate source-to-target data mappings and transformation logic across complex data platforms.
 * Design, develop, and execute ETL test strategies, test cases, test scripts, and validation processes.
 * Verify data movement, transformation accuracy, completeness, and consistency across systems.
 * Conduct regression, integration, system, and user acceptance testing for data initiatives.
 * Identify, document, track, and resolve data-related defects and production issues.

Data Analysis & Quality Engineering

 * Analyze large and complex datasets to identify trends, anomalies, patterns, and business insights.
 * Perform data profiling, data reconciliation, and root cause analysis to support quality initiatives.
 * Validate business rules and data transformation requirements to ensure accurate processing.
 * Drive data quality improvements and support enterprise data governance initiatives.
 * Execute data cleansing and validation activities to improve data integrity and accuracy.
 * Collaborate with stakeholders to define and implement data quality standards and metrics.

SQL Development & Query Analysis

 * Develop, optimize, and maintain complex SQL queries for testing and analysis activities.
 * Create data validation scripts and automated validation processes where appropriate.
 * Support ongoing analysis of data quality issues and performance optimization opportunities.
 * Conduct source-to-target reconciliations across multiple databases and cloud environments.

Cloud & Data Platform Testing

 * Validate data pipelines and workflows across cloud-based architectures.
 * Support testing activities involving AWS services and enterprise data platforms.
 * Verify data integrations between cloud systems, APIs, and downstream applications.
 * Monitor and assess data movement processes to ensure operational stability.

Stakeholder Collaboration

 * Work closely with business analysts, data engineers, developers, architects, and product owners.
 * Participate in requirements reviews and contribute to test strategy development.
 * Provide testing status updates, risk assessments, and quality metrics to project stakeholders.
 * Support defect triage sessions and help drive issue resolution efforts.

Continuous Improvement

 * Recommend improvements to ETL testing processes, automation approaches, and quality assurance practices.
 * Identify opportunities to increase testing efficiency and improve data quality outcomes.
 * Mentor junior team members on data validation, ETL testing, and quality engineering best practices.
 * Contribute to the development of reusable testing frameworks and accelerators.


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