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Brillio Technologies Pvt. Ltd
2 months ago
Job Title: QA Lead
Location: Remote
Experience: 5 to 8 years
We are seeking an experienced QA Specialist/Tester with expertise in Databricks, Spark/PySpark, and Azure. The ideal candidate will be responsible for ensuring the accuracy, integrity, and performance of ETL processes, Power BI reports, and SQL queries. You will play a key role in validating data pipelines, reporting solutions, and database operations to meet business requirements and performance standards.
Key Responsibilities:
- ETL Testing: Test and validate ETL processes using Databricks or other tools to ensure accurate data extraction, transformation, and loading.
- Power BI Reporting: Develop and execute test plans for Power BI reports, ensuring they meet business requirements and performance standards.
- SQL Validation: Validate SQL queries, ensuring data integrity, optimal performance, and alignment with business needs.
- Data Pipeline Validation: Test and validate data pipelines, ensuring seamless data flow and accuracy across different systems.
- Performance Testing: Conduct performance testing to ensure ETL processes, SQL queries, and reporting solutions operate efficiently under various conditions.
- Collaboration: Work closely with data engineers, business analysts, and stakeholders to understand business requirements and translate them into test plans and scenarios.
- Documentation: Maintain detailed documentation of test cases, test results, and any defects found during testing.
Must-Have Skills:
- Expertise in ETL Testing using Databricks or similar tools.
- Strong experience with Spark/PySpark for data processing and validation.
- Proficiency in Azure cloud services, particularly in data-related services.
- Strong SQL skills for query validation and data integrity checks.
Good-to-Have Skills:
- Experience in testing Power BI reports.
- Familiarity with other BI tools and reporting solutions.
Knowledge of data warehousing and big data technologies.
Educational Qualifications:
Bachelor's degree in Computer Science, Information Technology, or a related field.
