Data Automation Specialist

5 days ago

Noida, Uttar Pradesh, India beBeeDataAutomation Full time ₹ 90,00,000 - ₹ 1,20,00,000

Job Description:

We are seeking a skilled professional to join our team as a Data Automation Specialist. In this role, you will play a critical part in ensuring the quality and accuracy of our data solutions.

As a key member of our data engineering team, you will be responsible for developing and implementing automated testing frameworks for data validation, ETL processes, and data integration. Your work will involve close collaboration with data engineers and analysts to design, build, and maintain scalable test automation frameworks tailored for data warehousing environments.

Responsibilities:

  • Develop and Implement Automation Frameworks: Design, build, and maintain scalable test automation frameworks tailored for data warehousing environments.
  • Test Strategy and Execution: Define and execute automated test strategies for ETL processes, data pipelines, and database integration across a variety of data sources.
  • Data Validation: Implement automated tests to validate data consistency, accuracy, completeness, and transformation logic.
  • Performance Testing: Ensure that the data warehouse systems meet performance benchmarks through automation tools and load testing strategies.
  • Collaborate with Teams: Work closely with data engineers, software developers, and data analysts to understand business requirements and design tests accordingly.
  • Continuous Integration: Integrate automated tests into the CI/CD pipelines, ensuring that testing is part of the deployment process.
  • Defect Tracking and Reporting: Use defect-tracking tools to log and track issues found during automated testing, ensuring that defects are resolved in a timely manner.
  • Test Data Management: Develop strategies for handling large volumes of test data while maintaining data security and privacy.
  • Tool and Technology Evaluation: Stay current with emerging trends in automation testing for data warehousing and recommend tools, frameworks, and best practices.

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