QA Engineer with AI and Healthcare
Hire Type; Contract\
Location: Remote
The requirement from client is straightforward as they are looking for a QA Engineer who is specialised in Manual and Automation testing with hands on experience in Ceding, (SQL, Python, Pyspark, Java), Selenium, ETL tools like (Databricks, Snowflake, Talend, Informatica) able to orchestrate Data Pipelines using Airflow, Data warehousing Knowledge along with Healthcare Domain expertise.
Skill
Deep proficiency in SQL (including complex queries
Technical Skills
Deep proficiency in SQL (including complex queries with multi-table JOINS, aggregations). Python for test automation (specifically with SQLAlchemy and Pandas) Strong understanding of ETL concepts and validating data pipelines. Knowledge of EDW architecture, including Star/Snowflake schemas and Slowly Changing Dimensions (SCD). Backend testing to compare source and target data.
Experience with Al tools like GitHub Copilot, Microsoft 365 Copilot, and Snowflake Al Cortex. Ability to develop automated database validation scripts. Exposure to Al/ML model validation and testing data pipelines for machine learning. Experience integrating automation into CI/CD pipelines in Azure DevOps.
Al & Automation
Direct experience with Healthcare/Medicaid systems. Familiarity with healthcare data standards
Ability to develop automated database validation scripts. Exposure to Al/ML model validation and testing data pipelines for machine learning. Experience integrating automation into CI/CD pipelines in Azure DevOps.
Domain Knowledge
Direct experience with Healthcare/Medicaid systems. Familiarity with healthcare data standards like HIPAA, claims (837/835), eligibility, and clinical codes (ICD-9/10, CPT, HL7).
Tools & Platforms
Cloud Data Platforms: Snowflake, Databricks, Azure Synapse. Test Management: Azure DevOps (ADO), JIRA, HP ALM.ETL Tools: Informatica, Talend, SSIS, ADF.Data Visualization: Tableau, Power BI. Code Management: GitHub.
Excellent communication and collaboration. Ability to work in Agile/Scrum/Hybrid sprint cycles.
Soft Skills
Strong analytical and problem-solving skills to identify the root cause of discrepancies.
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