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QA Automation Engineer

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Onsite

QA Automation Engineer

Quantum Integrators

QA Automation Engineer

Skills

Google Cloud PlatformSQL QueriesTesting & QAKafkaSnowflakeData AnalysisAIAWSJiraSAP ERPNLP / Natural Language ProcessingComplianceAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

13 August 2026

What they need


We currently have two open positions,

1. Senior QA Automation Engineer

2. QA Analyst (Clinical Analytics Platform)

These roles require candidates with Pharmaceutical/Biopharmaceutical domain experience and hands-on experience in clinical testing.

Candidates should have a strong understanding of clinical applications, clinical data, and testing processes within the pharmaceutical domain.

Position 1:

Role: Integration Architect - Data & Integration

Location: Pune / Nagpur / Hyderabad (No Hybrid or Remote option).

Duration: Full-time, Quanta Systems Technologies LLP (Quantum Integrators)

Shift Time: UK Shift (02.00 PM to 11.00 PM IST)

Job Summary:

We are looking for an experienced Integration Architect with strong expertise in data integration, API integration, enterprise integration patterns, and modern data platforms.

The candidate will be responsible for designing scalable and secure integration architectures across applications, databases, cloud platforms, and enterprise data systems.

The ideal candidate should have strong experience in data architecture, ETL/ELT, APIs, event-driven integration, cloud technologies, and data governance, along with the ability to work with business and technical stakeholders.

Required Experience:

  • 12+ years of overall IT experience.
  • 5+ years of experience in integration architecture/data integration.
  • Experience in designing and implementing enterprise-scale integration solutions.
  • Experience working with multiple applications, data sources, and technology platforms.
  • Strong communication and stakeholder-management skills.
  • Ability to translate business requirements into scalable technical architecture.

Key Responsibilities:

  • Design and implement end-to-end integration architecture for enterprise applications and data platforms.
  • Define integration strategies for application-to-application, application-to-data, and data-to-data integrations.
  • Design scalable ETL/ELT pipelines for batch and real-time data integration.
  • Define data flow, data mapping, transformation, validation, and reconciliation processes.
  • Design and implement API-based integrations, including REST and SOAP APIs.
  • Work with event-driven architectures using technologies such as Kafka or similar messaging platforms.
  • Develop integration patterns using ESB, API Gateway, message queues, and event streaming technologies.
  • Design integrations between cloud platforms, on-premises applications, databases, SaaS applications, and enterprise systems.
  • Define data models, schemas, data contracts, and integration standards.
  • Ensure data quality, consistency, security, lineage, and governance across integration solutions.
  • Collaborate with Data Architects, Solution Architects, Application Teams, DevOps, and Business Teams.
  • Review existing integration architecture and identify opportunities for modernization and optimization.
  • Define non-functional requirements including scalability, availability, performance, security, monitoring, and disaster recovery.
  • Create architecture diagrams, integration specifications, data-flow diagrams, and technical documentation.
  • Provide technical guidance to development and integration teams.

Required Technical Skills:

Data & Integration:

  • Strong experience in Data Integration and Enterprise Integration Architecture.
  • Strong understanding of ETL/ELT concepts and data pipelines.
  • Experience with data mapping, transformation, data validation, and reconciliation.
  • Strong understanding of batch and real-time data integration.
  • Experience with integration patterns and architecture principles.

API & Messaging:

  • REST/SOAP APIs
  • API Gateway and API Management
  • Kafka or other event-streaming platforms
  • Message queues / asynchronous integration
  • Event-driven architecture

Data Technologies:

  • Strong SQL and database concepts.
  • Experience with relational and/or NoSQL databases.
  • Experience with data warehouses and data lakes.
  • Knowledge of cloud data platforms such as Snowflake, BigQuery, Azure Data Lake, AWS, or similar is preferred.

Cloud & DevOps:

  • Experience with one or more cloud platforms: AWS, Azure, or GCP.
  • Understanding of CI/CD, containerization, and infrastructure automation.
  • Experience with monitoring, logging, and troubleshooting integration solutions.

Architecture & Governance:

  • Enterprise integration patterns and best practices.
  • Data governance and data security.
  • Data lineage and metadata management.
  • Authentication and authorization mechanisms such as OAuth2, JWT, and certificates.
  • Encryption and secure data transfer.
  • High availability, scalability, performance, and disaster recovery.

Position 2:

Role: Testing Analyst / QA Analyst (Clinical Analytics Platform)

Location: Pune / Nagpur, MH (No Hybrid or Remote option)

Employment Type: Full-Time with Quanta Systems Technologies LLP (Quantum Integrators)

Shift Time: UK Shift (02.00 PM to 11.00 PM IST)

Job Summary:

We are seeking a Testing Analyst with experience in testing clinical applications and analytics platforms. The ideal candidate will be responsible for creating and executing test scripts, performing regression testing, validating clinical data, and supporting AI-enabled documentation and code generation tools. Prior experience in clinical operations and healthcare platforms is highly preferred.

Key Responsibilities:

  • Create, maintain, and execute detailed test cases and test scripts.

  • Perform functional, integration, system, and regression testing.

  • Validate data accuracy across clinical applications and analytics platforms.

  • Test AI-enabled solutions including:

  • Document generation tools

  • Code generation tools

  • Natural Language Processing (NLP) solutions

  • Data entry automation tools

  • Validate patient narratives, clinical documentation, and SAP documents.

  • Identify, document, and track defects through resolution.

  • Collaborate with business users, developers, and product owners to understand requirements and ensure quality deliverables.

  • Participate in UAT support and production validation.

  • Prepare test reports and communicate testing status to project stakeholders.

Required Skills:

  • 3 - 7 years of QA/Testing experience.

  • Experience testing Analytics Platforms.

  • Strong experience in:

  • Test case creation

  • Test execution

  • Regression testing

  • Defect management

  • Understanding of AI-assisted applications, including:

  • Document generation tools

  • Code generation tools

  • Natural Language Processing (NLP)

  • Data entry automation

  • Experience validating structured and unstructured data.

  • Experience in JIRA and Test automation tools.

Preferred Qualifications:

  • Experience in Clinical Operations or Life Sciences domain.

  • Familiarity with clinical platforms and healthcare applications.

  • Experience working with:

  • Patient Narratives

  • SAP Documentation

  • Clinical documentation workflows

  • Knowledge of GxP/CSV validation processes is a plus.

Nice to Have:

  • Experience with automation testing tools.
  • SQL and data validation experience.
  • Exposure to Agile/Scrum methodology.
  • Knowledge of healthcare compliance and regulatory standards.

Education:

  • Bachelors degree in Computer Science, Life Sciences, Pharmacy, Biotechnology, Healthcare Informatics, or a related field.

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