High proficiency in Python for data engineering tasks, utilizing libraries such as Pandas, PyTest, Great Expectations, and the Snowflake-Python Connector. Deep understanding of ETL/ELT lifecycles ...
High proficiency in Python for data engineering tasks, utilizing libraries such as Pandas, PyTest, Great Expectations, and the Snowflake-Python Connector. Deep understanding of ETL/ELT lifecycles ...
High proficiency in Python for data engineering tasks, utilizing libraries such as Pandas, PyTest, Great Expectations, and the Snowflake-Python Connector. Deep understanding of ETL/ELT lifecycles ...
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High proficiency in Python for data engineering tasks, utilizing libraries such as Pandas, PyTest, Great Expectations, and the Snowflake-Python Connector. Deep understanding of ETL/ELT lifecycles ...
Test Architect (Data Migration & Snowflake)
Kansas City, KS · On-site
$61.50 - $79/hr
High proficiency in Python for data engineering tasks, utilizing libraries such as Pandas, PyTest, Great Expectations, and the Snowflake-Python Connector. * Data Engineering & ETL: Deep understanding ...
Test Architect (Data Migration & Snowflake)
Kansas City, KS · On-site
$61.50 - $79/hr
High proficiency in Python for data engineering tasks, utilizing libraries such as Pandas, PyTest, Great Expectations, and the Snowflake-Python Connector. * Data Engineering & ETL: Deep understanding ...
Pytest information
What is Pytest and what is it used for?
Pytest is a popular testing framework for Python that allows developers to write simple as well as scalable test cases. It is widely used for unit testing, functional testing, and integration testing in Python projects. Pytest makes it easy to write small tests, yet it scales to support complex functional testing for applications and libraries. Its rich plugin architecture and simple syntax make it a preferred choice for many Python developers.
What are the key skills and qualifications needed to thrive as a Pytest Automation Engineer, and why are they important?
To excel as a Pytest Automation Engineer, you need strong programming skills in Python, a solid understanding of software testing principles, and experience with test automation frameworks. Familiarity with Pytest, continuous integration tools (like Jenkins), and version control systems (such as Git) is typically required, along with relevant certifications in software testing or Python development. Attention to detail, analytical thinking, and effective communication help you identify issues quickly and collaborate across development teams. These abilities are crucial for ensuring software quality, speeding up release cycles, and maintaining robust, scalable test systems.
How does a Pytest automation engineer typically collaborate with developers and QA teams during a software release cycle?
As a Pytest automation engineer, you will often work closely with both developers and QA professionals throughout the software release cycle. You’ll be responsible for creating and maintaining test suites using Pytest, reviewing code changes, and ensuring that automated tests cover new features or bug fixes. Regular communication is essential, as you’ll need to report test results, discuss defects, and coordinate on test coverage or continuous integration setup. This collaborative approach helps maintain high code quality and smooth releases.
What is the difference between Pytest vs Selenium Tester?
| Aspect | Pytest | Selenium Tester |
|---|---|---|
| Primary Focus | Automated testing framework for Python code | Web application testing using browser automation |
| Required Skills | Python programming, testing frameworks | Web technologies, Selenium WebDriver, scripting |
| Work Environment | Software development, QA teams, CI/CD pipelines | Web testing, QA teams, browser environments |
| Common Certifications | Python certifications, testing certifications | Selenium certifications, QA certifications |
Pytest is a Python testing framework used primarily for unit and integration testing of Python applications. Selenium Tester specializes in automating web browsers to test web applications. While both roles involve testing, Pytest focuses on code-level testing within Python projects, whereas Selenium Testers focus on browser-based testing of web interfaces. Understanding these differences helps teams assign the right tools and skills for their testing needs.
What are popular job titles related to Pytest jobs in Kansas? For Pytest jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Pytest jobs in Kansas look for? The top searched job categories for Pytest jobs in Kansas are:
Test Automation Architect (Data Migration & Snowflake) Kansas City, KS
Kansas City, KS • On-site
Other
Posted 3 days ago
Job description
Job Description:
Test Automation Architect (Data Migration & Snowflake) Kansas City, KS
Mode: 100% Onsite
We are seeking a strategic and highly technical Test Automation Architect to lead the quality engineering efforts for a large-scale data migration project to Snowflake. You will be responsible for designing a robust, multi-tool automation framework that ensures data integrity, performance, and seamless business process continuity. As the Architect, you will orchestrate the integration of Tricentis Tosca, UFT, and Python to validate complex ETL pipelines and cloud data warehouse architectures.
Key Responsibilities
Define and implement a hybrid automation strategy using Tosca for model-based UI/API testing, UFT for legacy system integration, and Python for high-volume data validation.
Develop custom Python-based utilities and libraries to perform automated source-to-target reconciliation, schema validation, and data quality checks within Snowflake.
Lead the design of automated workflows that bridge the gap between legacy on-premises systems and modern cloud data environments.
Embed automated testing suites into the DevOps pipeline to enable continuous testing for ETL jobs and data transformations.
Provide architectural governance, conduct code reviews for Python scripts, and establish best practices for Model-Based Test Automation (MBTA) in Tosca.
Design automated tests to evaluate Snowflake warehouse performance, concurrency, and data throughput.
Technical Qualifications
Expert-level knowledge of Snowflake architecture, including Virtual Warehouses, Stages, Snowpipe, and Secure Data Sharing.
Mastery of Tricentis Tosca, including Distributed Execution (DEX), Test Data Service (TDS), and API scan modules.
Advanced proficiency in Micro Focus UFT/One, specifically VBScript scripting, Object Repository management, and legacy application integration.
High proficiency in Python for data engineering tasks, utilizing libraries such as Pandas, PyTest, Great Expectations, and the Snowflake-Python Connector.
Deep understanding of ETL/ELT lifecycles, data mapping, and validating transformations from RDBMS (Oracle, SQL Server) to Cloud Data Warehouses.
Mastery of complex SQL for data profiling
Working Place:
Kansas City, Kansas, United States
Company :
ESR Healthcare
Test Automation Architect (Data Migration & Snowflake) Kansas City, KS
Mode: 100% Onsite
We are seeking a strategic and highly technical Test Automation Architect to lead the quality engineering efforts for a large-scale data migration project to Snowflake. You will be responsible for designing a robust, multi-tool automation framework that ensures data integrity, performance, and seamless business process continuity. As the Architect, you will orchestrate the integration of Tricentis Tosca, UFT, and Python to validate complex ETL pipelines and cloud data warehouse architectures.
Key Responsibilities
Define and implement a hybrid automation strategy using Tosca for model-based UI/API testing, UFT for legacy system integration, and Python for high-volume data validation.
Develop custom Python-based utilities and libraries to perform automated source-to-target reconciliation, schema validation, and data quality checks within Snowflake.
Lead the design of automated workflows that bridge the gap between legacy on-premises systems and modern cloud data environments.
Embed automated testing suites into the DevOps pipeline to enable continuous testing for ETL jobs and data transformations.
Provide architectural governance, conduct code reviews for Python scripts, and establish best practices for Model-Based Test Automation (MBTA) in Tosca.
Design automated tests to evaluate Snowflake warehouse performance, concurrency, and data throughput.
Technical Qualifications
Expert-level knowledge of Snowflake architecture, including Virtual Warehouses, Stages, Snowpipe, and Secure Data Sharing.
Mastery of Tricentis Tosca, including Distributed Execution (DEX), Test Data Service (TDS), and API scan modules.
Advanced proficiency in Micro Focus UFT/One, specifically VBScript scripting, Object Repository management, and legacy application integration.
High proficiency in Python for data engineering tasks, utilizing libraries such as Pandas, PyTest, Great Expectations, and the Snowflake-Python Connector.
Deep understanding of ETL/ELT lifecycles, data mapping, and validating transformations from RDBMS (Oracle, SQL Server) to Cloud Data Warehouses.
Mastery of complex SQL for data profiling
Working Place:
Kansas City, Kansas, United States
Company :
ESR Healthcare