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Salary
≈ $12k – $30k per year (Estimated)
Location
In office (Bengaluru, Pune)
Experience
6+ years exp

First seen by Alion on Oct 22, 2026.

Overview
Company
Impact
Profile match
Infosys BPM is the business process management subsidiary of Infosys that provides integrated end-to-end outsourcing services along with finance, accounting, geospatial data, BRM analytics, and RPA.

We are seeking an experienced QA / ETL Test Engineer with 5+ years of expertise in ETL Testing, Python, Kafka, Data Validation, and AI-enabled Quality Engineering. The ideal candidate will be responsible for validating data pipelines, testing Kafka-based data streams, developing automation solutions using Python, and leveraging AI-powered tools to improve testing efficiency, coverage, and defect detection.


Responsibilities:

  • Perform ETL Testing, data reconciliation, and end-to-end data validation.
  • Validate data movement across source systems, ETL processes, Kafka streams, and target databases.
  • Develop and maintain test automation scripts using Python.
  • Test and monitor Kafka producers, consumers, topics, and message flows.
  • Perform SQL-based data verification and database testing.
  • Integrate test automation into CI/CD pipelines and Agile delivery processes.
  • Utilise AI-assisted testing tools and Generative AI for test case generation, test data creation, defect analysis, and test optimisation.
  • Collaborate with developers, data engineers, and business stakeholders to ensure data quality and reliability.


Requirements:

  • 5+ years of experience in ETL Testing and Data Validation.
  • Strong hands-on experience with Python, SQL, and Kafka.
  • Expertise in testing data warehouses, ETL pipelines, and large datasets.
  • Experience with automation frameworks and scripting.
  • Knowledge of REST API Testing and CI/CD tools (Jenkins, Git, Azure DevOps, etc. ).
  • Familiarity with Agile and DevOps methodologies.
  • Exposure to AI-powered testing tools, Microsoft Copilot, GitHub Copilot, or similar AI solutions.


Preferred Skills:

  • Finance / Banking / Wealth Management domain experience preferred.
  • Experience with data migration, data warehousing, and cloud data platforms.
  • Knowledge of AI/ML concepts for test optimisation and predictive quality analytics.


Professional Attributes:

  • Strong analytical and problem-solving skills.
  • Excellent communication and stakeholder management abilities.
  • Ability to work independently and within cross-functional teams.
  • Proactive mindset with a focus on quality and continuous improvement.

Skills

ETL, Kafka, Python

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