Women's Hiring For Testing - ETL Python Kafka

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

REGISTRATION PROCESS:

The Candidate ID is mandatory to attend the interview. Please follow the below instructions to successfully complete the registration. (Talents without registration will not be Considered for the next stage).

Candidate ID Registration process:

STEP 1: https://career.infosys.com/joblist

STEP 2: Click on "Register" and provide the required details and submit.

STEP 3: Once submitted, Your Candidate ID (100XXXXXXXX) will be generated.

STEP 4: The candidate ID will be shared to the registered Email ID.

The interview will be conducted as per the scheduled invite ONLY

Regards,

Infosys BPM Recruitment team