Data Assurance Specialist

3 days ago

Hyderabad, Telangana, India beBeeDataAssurance Full time ₹ 20,00,000 - ₹ 25,00,000
Job Title: Data Assurance Lead

This role involves leading the entire quality assurance process for data-centric projects, focusing on extraction, transformation, and loading (ETL) processes.

The ideal candidate will have a strong background in data testing, ETL testing, and QA processes. They should be able to design, develop, and execute comprehensive test cases and test plans for ETL processes and data pipelines.

Key Responsibilities:

  • Lead the QA process for data-centric projects, focusing on ETL and cloud-based solutions.
  • Design, develop, and execute comprehensive test cases and test plans for ETL processes and data pipelines.
  • Implement and manage Test Data management strategies, ensuring data integrity and quality throughout the testing lifecycle.
  • Conduct thorough ETL testing to validate data extraction, transformation, and loading processes.
  • Perform testing of solutions built on Azure Services, including data storage, processing, and analytics components.
  • Collaborate closely with development, data engineering, and business teams to understand requirements and ensure test coverage.
  • Identify, document, and track defects, working with development teams to ensure timely resolution.

Requirements:

  • 6-10 years of experience in Quality Assurance, with a strong focus on data testing.
  • Expertise in ETL Testing, including data validation, data integrity checks, and transformation logic verification.
  • In-depth understanding and hands-on experience with QA processes and methodologies.
  • Proven ability to design, write, and manage detailed test cases.
  • Strong experience in Test Data management techniques and tools.
  • Hands-on experience with Azure Services related to data (e.g., Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure SQL Database).
  • Knowledge of Microsoft Fabric is highly desirable.
  • Strong proficiency in SQL for data validation and querying.
  • Experience with various testing types (functional, integration, regression, performance).
  • Excellent analytical and problem-solving skills.
  • Strong communication and collaboration abilities.

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