Pune, Maharashtra, India
Information Technology
Full-Time
Mako IT Lab
Overview
Role Overview
We are looking for a skilled QA Engineer with 2–3 years of experience in testing data integration pipelines, APIs, and analytics solutions. The candidate will work closely with our Integration and Data Analytics teams to ensure high-quality deliverables through effective test planning, execution, and automation.
Key Responsibilities
Collaborate with Integration and Data Analytics teams to understand requirements, data flows, and system integrations.
Create detailed, comprehensive, and well-structured test plans and test cases.
Perform functional, integration, regression, and user acceptance testing for ETL processes, APIs, dashboards, and reports.
Validate data transformation and consistency between source and target systems.
Test API endpoints using tools like Postman, REST Assured, or similar.
Identify, document, and track defects using tools like Jira or Azure DevOps.
Work with developers and data engineers to troubleshoot issues and verify fixes.
Support automation testing where applicable (e.g., API automation, database validation scripts).
Ensure adherence to QA processes, standards, and best practices.
Required Skills & Qualifications
Bachelor’s degree in Computer Science, Information Technology, or related field.
2–3 years of QA experience in software projects, preferably in Integration and Data Analytics domains.
Strong understanding of software QA methodologies, tools, and processes.
Hands-on experience testing APIs, data pipelines, and database-driven applications.
Proficiency in SQL for data validation and querying.
Experience with testing tools such as Postman, JMeter, Selenium, or similar.
Familiarity with ETL/ELT testing and BI/reporting tools (e.g., Power BI, Tableau) is a plus.
Good understanding of defect tracking systems (e.g., Jira, Azure DevOps).
Strong analytical and problem-solving skills.
Good verbal and written communication skills.
Good to Have
Basic scripting skills (Python, Java, or similar) for automation.
Experience in Agile/Scrum methodologies.
Knowledge of cloud platforms (AWS, Azure, GCP) and their data services.
Benefits
Opportunity to work on challenging integration and analytics projects across global clients.
Collaborative and growth-oriented work environment.
Exposure to modern QA tools and practices.
We are looking for a skilled QA Engineer with 2–3 years of experience in testing data integration pipelines, APIs, and analytics solutions. The candidate will work closely with our Integration and Data Analytics teams to ensure high-quality deliverables through effective test planning, execution, and automation.
Key Responsibilities
Collaborate with Integration and Data Analytics teams to understand requirements, data flows, and system integrations.
Create detailed, comprehensive, and well-structured test plans and test cases.
Perform functional, integration, regression, and user acceptance testing for ETL processes, APIs, dashboards, and reports.
Validate data transformation and consistency between source and target systems.
Test API endpoints using tools like Postman, REST Assured, or similar.
Identify, document, and track defects using tools like Jira or Azure DevOps.
Work with developers and data engineers to troubleshoot issues and verify fixes.
Support automation testing where applicable (e.g., API automation, database validation scripts).
Ensure adherence to QA processes, standards, and best practices.
Required Skills & Qualifications
Bachelor’s degree in Computer Science, Information Technology, or related field.
2–3 years of QA experience in software projects, preferably in Integration and Data Analytics domains.
Strong understanding of software QA methodologies, tools, and processes.
Hands-on experience testing APIs, data pipelines, and database-driven applications.
Proficiency in SQL for data validation and querying.
Experience with testing tools such as Postman, JMeter, Selenium, or similar.
Familiarity with ETL/ELT testing and BI/reporting tools (e.g., Power BI, Tableau) is a plus.
Good understanding of defect tracking systems (e.g., Jira, Azure DevOps).
Strong analytical and problem-solving skills.
Good verbal and written communication skills.
Good to Have
Basic scripting skills (Python, Java, or similar) for automation.
Experience in Agile/Scrum methodologies.
Knowledge of cloud platforms (AWS, Azure, GCP) and their data services.
Benefits
Opportunity to work on challenging integration and analytics projects across global clients.
Collaborative and growth-oriented work environment.
Exposure to modern QA tools and practices.
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