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Hitachi Solutions • pune, Maharashtra, India
Role & seniority: Data/QA Test Automation Engineer (mid-to-senior level)
Stack/tools: Python; test frameworks (PyTest, unittest); API testing (REST/Flask); Azure Databricks, Spark; data platforms; SQL; Kubernetes; Docker; CI/CD (Azure DevOps, GitHub Actions, Jenkins)
Validate ETL/data workflows on Azure Databricks for accuracy, performance, and reliability
Design, develop, and maintain automated test frameworks for data pipelines, APIs, and containerized services; build/execute integration, performance, and regression test suites
Implement CI/CD quality gates in containerized deployments; monitor/troubleshoot test failures; collaborate with data engineers, software developers, and DevOps to improve quality
Strong Python programming and experience building test automation frameworks
White-box testing experience; API testing (REST/Flask) with PyTest/unittest
Experience with data platforms (Azure Databricks, Spark) and SQL; testing in containerized environments (Kubernetes, Docker)
Familiarity with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins)
Solid understanding of functional, regression, integration, and performance testing
Experience with Azure cloud services (Databricks, Data Lake, Kubernetes Service)
Data quality frameworks (e.g., Great Expectations) and monitoring tools (Prometheus, Grafana)
Strong analytical/problem-solving skills and attention to detail
Company Description