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Data Engineer who designs, builds, and maintains scalable data pipelines and end-to-end analytics solutions on Microsoft Fabric. Day-to-day work centers on Spark-based development (Python, PySpark, SparkSQL/TSQL), ETL/ELT orchestration, Lakehouses/OneLake, and integration with Azure data services.
QA Engineer at Worklife Tech in Bangalore South doing manual and automated testing of web and mobile applications: designing and executing test cases, validating REST APIs and database data with SQL, tracking defects in Jira/Zephyr, and building automation with tools like Playwright, Selenium, or Cypress.
Build, optimize, and support data pipelines end to end as independent, deployable data products, while championing DevOps practices (CI/CD, Terraform) on Google Cloud Platform. The role involves collaborating with product teams in a data mesh context, and requires GCP certification.
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