VeeRteq Solutions Inc.
QA Tester at VeeRteq Solutions Inc. New York, NY
VeeRteq Solutions Inc., New York, New York, us, 10261
QA Tester job at VeeRteq Solutions Inc. New York, NY.
QA Tester
Experience:
10+ years Location:
Remote Mandatory skills:
Pytest Framework, Python, Databricks What is in it for you?
As a QA Tester you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards. Responsibilities: Strong experience in ETL testing, data validation, and QA methodologies. Hands-on experience with Databricks, Spark (PySpark/Scala), and big data platforms. Proficiency in SQL for data analysis and validation. Familiarity with Delta Lake, Parquet, and other data formats. Experience with API testing and automation. Experience with test automation frameworks and scripting. Strong understanding of data warehousing concepts and ETL workflows. Experience with cloud platforms like AWS. Familiarity with version control tools (e.g., Git).
Required Skills:
Pytest Framework Hands-on knowledge is Mandatory Python Programming Unit Testing Integration Testing Test Automation Selenium (if applicable) API Testing Data-Driven Testing Behavior-Driven Development (BDD) Continuous Integration/Continuous Deployment (CI/CD) Test Case Design Test Execution Debugging and Troubleshooting Code Coverage Analysis Mocking and Fixtures in Pytest
Educational Qualifications:
Engineering Degree BE/ME/BTech/MTech/BSc/MSc. Technical certification in multiple technologies is desirable. #J-18808-Ljbffr
Experience:
10+ years Location:
Remote Mandatory skills:
Pytest Framework, Python, Databricks What is in it for you?
As a QA Tester you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards. Responsibilities: Strong experience in ETL testing, data validation, and QA methodologies. Hands-on experience with Databricks, Spark (PySpark/Scala), and big data platforms. Proficiency in SQL for data analysis and validation. Familiarity with Delta Lake, Parquet, and other data formats. Experience with API testing and automation. Experience with test automation frameworks and scripting. Strong understanding of data warehousing concepts and ETL workflows. Experience with cloud platforms like AWS. Familiarity with version control tools (e.g., Git).
Required Skills:
Pytest Framework Hands-on knowledge is Mandatory Python Programming Unit Testing Integration Testing Test Automation Selenium (if applicable) API Testing Data-Driven Testing Behavior-Driven Development (BDD) Continuous Integration/Continuous Deployment (CI/CD) Test Case Design Test Execution Debugging and Troubleshooting Code Coverage Analysis Mocking and Fixtures in Pytest
Educational Qualifications:
Engineering Degree BE/ME/BTech/MTech/BSc/MSc. Technical certification in multiple technologies is desirable. #J-18808-Ljbffr