QA Engineer

Hyderabad , India
full-time

AI overview

Ensure high-quality data workflows and automation across complex data pipelines and analytics platforms while collaborating with engineering teams to improve quality.

We are looking for an experienced QA Automation Engineer with strong expertise in Python-based automation, ETL and database testing, and Big Data validation within Azure Fabric environments. The ideal candidate will be responsible for ensuring high-quality data workflows and automation across complex data pipelines and analytics platforms.

Responsibilities

  • Design, develop, and maintain automation frameworks using Python for data validation and workflow testing.
  • Perform ETL testing to validate data extraction, transformation, and loading processes across multiple data sources.
  • Conduct Database and Big Data testing using SQL and other relevant tools to ensure data integrity and performance.
  • Validate end-to-end data pipelines across Azure Data Fabric, Azure Synapse, and Azure Data Factory.
  • Collaborate with Data Engineering and Development teams to identify quality gaps, define test strategies, and improve automation coverage.
  • Develop and execute test cases, test scripts, and regression suites for large-scale data applications.
  • Perform data reconciliation and validation in distributed environments (Hadoop, Spark, or Databricks).
  • Participate in CI/CD automation and support quality gates in Azure DevOps pipelines.
  • Document test results, defects, and ensure traceability from requirements to validation.
  • 3+ years of experience in QA Automation with a strong background in data testing.
  • Hands-on experience in Python-based automation frameworks (PyTest, Unittest, or custom-built).
  • Strong SQL skills for data validation, profiling, and complex query testing.
  • Proven experience in ETL testing and validation of data flows across staging, transformation, and target layers.
  • Experience in Big Data testing (Spark, Hive, HDFS, Databricks, or similar technologies).
  • Knowledge of Azure Data Fabric, Azure Data Factory, Synapse, and Data Lake.
  • Good understanding of data warehousing concepts, data modeling, and schema validation.
  • Experience working with CI/CD pipelines, Git, and Azure DevOps.

 BLEND360 is an award-winning, new breed Data Science Consultancy focused on powering exceptional results for our Fortune 500/1000 clients and other major organizations. We are a growing company—born at the intersection of advanced analytics, data, and technology.Who we are:People are everything here at BLEND360.  We are inspired by advancing our Client’s most critical initiatives, products and projects by matching our clients with the right talent. BLEND360 has been among the Inc. 5000 fastest growing companies 8 years in a row, and we’re very proud of our World Class NPS score. Our success is a direct result of our passion for advancing the careers of the talented people we work with every day. When you work at BLEND360, you will:Collaborate with a smart, passionate group of people who are invested in your success.Partner with an impressive list of clients, who value Blend360’s services and the world class experience we deliver with every engagement. Thrive with a company and leadership team who are committed to growth.

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