Hybrid
Full Time
Scope & Focus:
Validate ETL data flows, data transformation, and data quality across Databricks, Azure Data Factory, and Power BI.
Conduct data validation, reconciliation, and performance benchmarking for large datasets.
Test Azure Functionsbased workflows to verify automation logic and reliability.
Design and execute load and performance tests using BlazeMeter and JMeter to assess system scalability.
Leverage AI tools for test case generation, debugging, and automation optimization.
Desired Skills:
Strong background in ETL / data pipeline testing and data validation
Hands-on experience with Databricks, Azure Data Factory, and Power BI validation
Proficiency in JMeter/BlazeMeter for performance and load testing
Root cause analysis for data discrepancies and performance bottlenecks
Test automation using Selenium or other open-source tools
Brillio
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