QA Specialist (ETL & Kafka)

3 - 5 years

3 - 13 Lacs

Posted:2 days ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Full Time

Job Description

QA Specialist (ETL & Kafka)

Experience: 3–5 Years
Location: Noida

Role Overview

We are seeking a highly skilled QA Specialist with hands-on experience in ETL testing, Kafka-based data pipelines, and backend validation. The ideal candidate will ensure data accuracy, system reliability, and seamless integration across distributed systems.

Key Responsibilities

  • Perform comprehensive testing of ETL workflows, data pipelines, and data transformations.
  • Validate data ingestion, streaming, and processing across Kafka topics, producers, and consumers.
  • Execute functional, integration, regression, and performance testing across big data & streaming systems.
  • Develop and maintain detailed test plans, test cases, and test scripts.
  • Perform SQL-based validation for data integrity, reconciliation, and end-to-end data flow checks.
  • Troubleshoot issues, perform root-cause analysis, and collaborate with developers & data engineers to close defects.
  • Work closely with product, QA, and engineering teams to ensure high-quality releases.
  • Document defects in Jira/bug tracking tools and maintain QA process compliance.

Required Skills & Expertise

  • 3–5 years of experience in Software QA, with strong expertise in ETL/Data Pipeline testing.
  • Hands-on experience with Apache Kafka, including message validation, offset checks, topic-level testing, and streaming validation.
  • Strong SQL skills for data validation and reconciliation.
  • Understanding of data warehousing concepts, ETL tools, and batch/real-time processing.
  • Familiarity with big data ecosystem tools (Hadoop, Spark, Hive, etc.) is a plus.
  • Experience using Jira, Confluence, Test Management tools, and API testing tools (Postman/Swagger).
  • Ability to debug issues independently and work closely with cross-functional teams.
  • Strong analytical, communication, and documentation abilities.

Good to Have

  • Exposure to Python/automation for data pipeline validation
  • Experience with CI/CD tools (Jenkins, GitLab, Azure DevOps)
  • Basic knowledge of cloud platforms (AWS/Azure/GCP)

Job Types: Full-time, Permanent

Pay: ₹367,440.02 - ₹1,364,487.21 per year

Work Location: In person

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