Automation Test Engineer

We are seeking a skilled

Big Data Tester

with strong expertise in

Azure cloud technologies

and

Automation Testing frameworks

. The ideal candidate will be responsible for validating large-scale data pipelines, ensuring data quality, and automating test cases in a cloud-native environment. The role requires hands-on experience in testing data ingestion, transformation, and processing using big data tools and cloud services, particularly within Microsoft Azure.

Essential Functions

• Design, develop, and execute test plans and test cases for big data applications and pipelines.
• Perform data validation and data quality checks on structured and unstructured data from various sources.
• Test ETL processes, data lakes, and data warehouses built using Azure services such as Azure Data Factory (ADF), Azure Synapse, Databricks, Data Lakes, Blob Storage, etc.
• Build and maintain automated test scripts using tools like PyTest.
• Create and maintain test data for various testing scenarios.
• Develop SQL and Spark queries to validate data across multiple stages of the pipeline.
• Integrate test automation into CI/CD pipelines.
• Identify, log, and track bugs and performance issues, and work with development teams to resolve them.
• Collaborate with data engineers, developers, and business stakeholders to ensure test coverage and quality.
• Provide test reports, metrics, and documentation.
  

Qualifications

AQA Engineer with 4 to 8 years of experienceCloud services: Azure: ADF, Databricks, ADLS gen 2, Synapse, PureviewOrchestration: Apache AirflowProgramming skills: Python, SQLWould be a plusData / Analytics experienceClient facing skillsWe offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office
  

About Us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.