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Test Engineer
4 months ago
Job Title : Test Engineer (Data Analytics, Python,DB Testing-SQL) Only Immediater Joiners.
Location State : Karnataka.
Location City : Bengaluru.
Experience Required : 7 to 10 Year(s).
Shift: Day Shift.
Work Mode: Hybrid.
Position Type: Permanent.
Openings: 5+.
Company Name : VARITE INDIA PRIVATE LIMITED
About The Client :
A technology solutions company based in India specializes in providing services such as product engineering, digital transformation, and network services.
With a focus on delivering cutting-edge solutions, the company assists businesses in implementing innovative technologies across various industries, including automotive, telecommunications, and healthcare.
It remains a significant player in the technology sector, contributing to advancements in product engineering and digital solutions on a global scale.
About The Job : Data Analytics, Python,DB Testing-SQL) Only Immediater Joiners.
Essential Job Functions :
- Large volume and complex Data Testing skills using SQL for Data Analytics applications.
- Data Engineering experience and some Python for Data Validation.
- Good experience of testing with Analytics data and tools.
Qualifications : Graduation.
Responsibilities :
- Test Planning and Strategy : Develop test plans, test strategies, and test cases for data analytics projects. Define testing objectives, scope, and timelines in alignment with project requirements.
- Data Analytics Testing: Design and execute test scenarios to validate data analytics algorithms, models, and pipelines. Verify the accuracy, completeness, and reliability of data analytics outputs.
- Python Testing: Develop automated test scripts using Python to validate data analytics workflows and applications. Implement test automation frameworks and tools for efficient testing and regression testing.
- Database Testing (SQL): Perform database testing using SQL queries to validate data integrity, consistency, and correctness. Execute SQL scripts to verify data transformations, aggregations, and calculations.
- Integration Testing: Conduct integration testing to ensure seamless interaction and data flow between different components of data analytics systems. Validate end-to-end functionality and interoperability of data analytics solutions.
- Defect Management : Identify, prioritize, and track defects using defect tracking tools such as JIRA or Bugzilla. Collaborate with development teams to troubleshoot and resolve issues in a timely manner.
- Reporting and Documentation : Prepare test reports summarizing test results, findings, and recommendations. Document test cases, test procedures, and test results for future reference and knowledge sharing.
Skills Required :
- Data Analytics: Strong understanding of data analytics concepts, techniques, and tools. Experience testing data analytics solutions, including data preprocessing, feature engineering, and model evaluation.
- Python Programming: Proficiency in Python programming language for test automation and scripting. Ability to develop and maintain automated test suites using Python libraries such as pytest or unittest.
- Database Testing (SQL): Solid knowledge of SQL for database testing, including querying, data manipulation, and data validation.
- Experience with relational databases such as MySQL, PostgreSQL, or Oracle.
- Test Automation: Experience with test automation frameworks and tools for data analytics testing. Familiarity with tools such as Selenium, Pytest, or Robot Framework for automated testing.
- Analytical Skills: Strong analytical and problem-solving skills to identify and resolve testing challenges. Ability to analyze complex data sets and identify anomalies or discrepancies.
- Communication and Collaboration: Excellent communication skills to collaborate effectively with cross-functional teams. Ability to articulate testing requirements, findings, and recommendations to stakeholders.
(ref:hirist.tech)