Recro | Software Tester | bangalore

14 hours ago

bangalore, India Recro Full time
Job Summary
As an ETL Test Engineer , you will be responsible for ensuring the quality and accuracy of data integration and transformation processes. You will work closely with developers, data engineers, and business analysts to validate that the ETL pipelines meet business requirements and technical specifications. Your expertise in Kafka, MongoDB (or SQL), and Azure Data Lakes will play a critical role in maintaining the reliability and scalability of the organization's data infrastructure.
Key Responsibilities
ETL Testing
Design, develop, and execute test cases for ETL workflows to ensure data accuracy, completeness, and integrity.
Validate data transformations, data mappings, and ETL logic against source-to-target requirements.
Perform data validation and reconciliation between source and destination systems.
Data Pipeline Validation
Test real-time data streaming using Kafka to ensure data ingestion meets performance and reliability criteria.
Verify the integration of MongoDB or SQL databases with ETL pipelines.
Ensure that data stored in Azure Data Lakes adheres to compliance and quality standards.
Defect Management
Identify, report, and track defects during testing phases.
Collaborate with developers to resolve issues and re-test fixes.
Automation
Develop automated testing frameworks for ETL and data validation processes.
Use scripting languages or tools to create reusable testing scripts.
Performance and Scalability Testing
Test the performance of ETL pipelines under varying loads to ensure scalability.
Monitor resource utilization and recommend optimizations.
Documentation
Maintain comprehensive testing documentation, including test plans, test cases, and test reports.
Provide detailed defect reports and testing summaries to stakeholders.
Required Skills
ETL Tools & Processes
Strong understanding of ETL tools and data transformation processes.
Kafka
Hands-on experience with Apache Kafka , including testing and validating streaming data pipelines.
Database Technologies
Proficiency in working with MongoDB or relational databases like SQL Server, MySQL, or PostgreSQL .
Experience in writing complex queries for data validation.
Azure Data Lake
Familiarity with Azure Data Lake architecture, storage, and data integration processes.
Scripting & Automation
Knowledge of scripting languages such as Python, Shell, or JavaScript for automation.
Familiarity with testing tools like Selenium, JMeter, or similar tools is a plus.
Data Analysis Tools
Proficiency in tools like Excel, Power BI, or Tableau for data validation and reporting.
Soft Skills
Strong problem-solving abilities and attention to detail.
Effective communication and collaboration skills to work with cross-functional teams.
Preferred Qualifications
Bachelor’s degree in Computer Science, Information Technology, or a related field.
4+ years of experience in ETL testing, with exposure to big data technologies.
Certification in data engineering or cloud technologies (e.g., Microsoft Azure, Apache Kafka).
This role offers a great opportunity to work with cutting-edge technologies and contribute to building robust, high-quality data solutions.

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