Job Description Job Summary
We are looking for an experienced Big Data QA Engineer with solid expertise in validating large-scale data pipelines, ETL processes, and data platforms. The ideal candidate should possess hands-on experience in Big Data testing, data quality validation, SQL, PySpark, Hadoop ecosystem, and automation testing. The role involves ensuring the accuracy, completeness, and reliability of data across enterprise-scale data platforms.
Mandatory Skills
• Big Data Testing
• SQL
• ETL Testing
• PySpark
• Hadoop Ecosystem
• Hive
• HDFS
• Data Validation & Data Quality Testing
• Unix/Linux
• Test Planning & Test Case Design
• Defect Tracking (JIRA)
• Git
Key Responsibilities
• Validate ETL pipelines and large-scale data processing workflows.
• Perform source-to-target reconciliation and data integrity testing.
• Create and execute test cases for data migration and transformation requirements.
• Validate data quality, completeness, and accuracy across multiple systems.
• Execute SQL and PySpark-based validation scripts.
• Test batch and real-time data processing platforms.
• Work closely with data engineers, business analysts, and developers.
• Automate repetitive data validation and regression testing processes.
• Identify, track, and resolve defects throughout the testing lifecycle.
Required Qualifications
• Bachelor's degree in Computer Science, IT, Engineering, or related field.
• 4+ years of experience in Big Data/Data Warehouse Testing.
• Solid expertise in SQL, ETL Testing, and Data Validation.
• Hands-on experience with Hadoop, Hive, Spark, or Databricks.
• Experience working with large datasets and complex data transformations.
• Solid analytical and problem-solving skills.
Preferred Experience
• Data Lake and Data Warehouse
📌 Test Engineer Bengaluru
🏢 Wipro
📍 Bengaluru
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