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TEST ENGINEER L3

Date Posted: Oct 05, 2026

Job Detail

  • location_on
    Location Bengaluru, Karnataka, India
  • desktop_windows
    Job Type: Full Time/Permanent
  • schedule
    Shift:
  • analytics
    Career Level:
  • group
    Positions:
  • calendar_view_day
    Experience:
  • male
    Gender: No Preference
  • school
    Degree:
  • calendar_month
    Apply Before: Dec 07, 2026

Job Description

Job Description

Job Summary

We are looking for an experienced Big Data QA Engineer with strong 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

Good to Have

  • Scala
  • Databricks
  • Kafka
  • Airflow
  • Spark Streaming
  • Snowflake
  • Python Automation
  • Selenium
  • Cloud Platforms (AWS/Azure/GCP)
  • Performance Testing
  • GenAI-assisted Testing Tools

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.
  • Strong 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.
  • Strong analytical and problem-solving skills.

Preferred Experience

  • Data Lake and Data Warehouse testing.
  • Real-time data validation using Kafka/Spark Streaming.
  • Cloud data platform testing on AWS, Azure, or GCP.
  • Automation framework development for data validation.

K͏ey 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.

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Source: Wipro careers — Read the original posting and apply

This role is listed by the employer on its own careers site. Kaam Ki Khoj does not process applications for it.

Company Overview

Wipro
Wipro · Bengaluru, Karnataka, India
5,630 open roles

Wipro is an employer in the IT/Computers - Software, Software Services sector with operations in India. This is a directory listing maintained by Kaam Ki Khoj so that candidates can find the organisation; it is not an official company page and Kaam K... Read More

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