Women's Hiring For Testing - ETL Python Kafka

Infosys BPM Ltd.; Pune District; On-site; INR 900,000 - 1,200,000; Full time

Job summary

Infosys BPM Ltd. is seeking a QA / ETL Test Engineer with 5+ years of experience to lead testing of ETL pipelines, Python scripts, and Kafka data streams. The role emphasizes data quality, validation, and AI-enabled testing to improve coverage and defect detection.

Based in Pune, the position requires Graduation and a 30-day notice period. You will collaborate with cross-functional teams to ensure reliable, scalable data testing in a fast-paced environment.

Qualifications

• 5+ years of experience in ETL Testing and Data Validation.
• Strong hands-on experience with Python, SQL, and Kafka.
• 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.

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.
• Utilize AI-assisted testing tools and Generative AI for test case generation, test data creation, defect analysis, and test optimization.
• Collaborate with developers, data engineers, and business stakeholders to ensure data quality and reliability.

Skills

ETL Testing

Data Validation

Python

SQL

Kafka

Automation frameworks

REST API Testing

CI/CD

Agile/DevOps

AI-powered testing tools

Education

Graduation

Tools

Jenkins

Git

Azure DevOps

Microsoft Copilot

GitHub Copilot

Job description

Women's Hiring for Testing - ETL, Python, Kafka

Note: The cut-off date to apply for this posting is 11th October

Role- Process Lead - Testing - ETL, Python, Kafka

Experience-4-5 Years

Location-Pune

Education-Graduation

Notice Period-30 Days

Job Description:

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.

Key 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.
• Utilize AI-assisted testing tools and Generative AI for test case generation, test data creation, defect analysis, and test optimization.
• Collaborate with developers, data engineers, and business stakeholders to ensure data quality and reliability.

Required Skills

• 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 optimization 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.

QA / ETL Test Engineer ETL, Python, Kafka

Quality Engineering | ETL Testing | Data Testing | AI-Enabled Testing

ETL Testing, Data Validation, Python, Kafka, SQL, Data Warehouse Testing, API Testing, Test Automation, AI Testing, Generative AI, Microsoft Copilot, GitHub Copilot, Jenkins, CI/CD, Agile, DevOps, Banking, Wealth Management, Financial Services, Data Engineering