Qa Automation

Year    Gurgaon, Haryana, India

Job Description

Company Overview
Incedo is a US-based consulting, data science and technology services firm with over 2,800 people helping clients from our six offices across US and India. We help our clients achieve competitive advantage through end-to-end digital transformation. Our uniqueness lies in bringing together strong engineering, data science, and design capabilities coupled with deep domain understanding. We combine services and products to maximize business impact for our clients in telecom, financial services, product engineering and life science & healthcare industries.
Working at Incedo will provide you an opportunity to work with industry leading client organizations, deep technology and domain experts, and global teams. Incedo University, our learning platform, provides ample learning opportunities starting with a structured onboarding program and carrying throughout various stages of your career. A variety of fun activities are also an integral part of our friendly work environment. Our flexible career paths allow you to grow into a program manager, a technical architect or a domain expert based on your skills and interests.
Role Description
Role Description
We are seeking a Senior QA Engineer with strong analytical, automation, and data validation expertise to ensure the quality and reliability of enterprise data platforms. The ideal candidate will combine SQL proficiency, Python scripting, and hands-on experience with Azure data assets and Linux environments to design, implement, and execute comprehensive test strategies.
Key responsibilities

  • Design, develop, and execute automated and manual test cases for data pipelines, APIs, and ETL workflows.
  • Validate large-scale data sets using SQL queries and perform data integrity checks across multiple layers (staging, curated, and analytics).
  • Build and maintain Python-based automation frameworks for regression and functional testing.
  • Work closely with data engineers and developers to test Azure-based components (Data Factory, Synapse, Databricks, Blob Storage, SQL DB).
  • Perform API testing and validation using tools such as Postman or custom Python scripts.
  • Monitor test execution in Linux environments, analyze logs, and troubleshoot defects efficiently.
  • Participate in sprint planning, provide QA estimations, and drive continuous improvement in test processes.
  • Ensure adherence to QA best practices, performance benchmarks, and data compliance standards.
Technical Skills
Technical skills requirements
  • 5-7 years of hands-on QA experience in data engineering or full-stack environments.
  • Strong proficiency in SQL (joins, subqueries, aggregations, data profiling).
  • Proven experience in Python automation (PyTest, Requests, Pandas).
  • Working knowledge of Azure cloud ecosystem - including Data Factory, Databricks, Blob Storage, and Synapse.
  • Good understanding of Linux shell scripting and commands.
  • Exposure to API and backend testing in data-centric projects.
  • Excellent analytical, debugging, and communication skills.
Nice-to-have skills
Nice-to-have skills
  • Familiarity with CI/CD tools (Azure DevOps, Jenkins).
  • Knowledge of data governance and validation frameworks.
  • ISTQB or equivalent QA certification (optional).
Qualifications Nice-to-have skills
  • Familiarity with CI/CD tools (Azure DevOps, Jenkins).
  • Knowledge of data governance and validation frameworks.
  • ISTQB or equivalent QA certification (optional).
Qualifications
Qualifications
  • 4-6 years of work experience in relevant field
  • B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred
Company Value
We value diversity at Incedo. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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Job Detail

  • Job Id
    JD4691644
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Gurgaon, Haryana, India
  • Education
    Not mentioned
  • Experience
    Year