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Mobile Programming India Pvt Ltd
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QA Specialist (ETL & Kafka)

QA Specialist (ETL & Kafka)

Mobile Programming India Pvt Ltd

3 - 5 years

3 - 13 Lacs

noida

Posted:2 days ago| Platform: GlassDoor logo

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Skills Required

etl kafka testing data reliability integration processing regression test sql integrity reconciliation flow analysis engineering jira tracking software pipeline apache offset checks hadoop spark hive confluence management api postman communication documentation python automation jenkins gitlab azure aws

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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