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ISOFT TESTING is looking for employees for positions:
engineer
engineer
Responsibility
automated the creation and management of complex ETL pipelines with Azure Data Factory
configured and managed Azure Data Lake Storage for both structured and unstructured data
developed data transformation processes using PySpark within Azure Databricks
leveraged Azure Synapse for handling big data and executing analytical workloads
integrated Azure Databricks and Azure Synapse Analytics for advanced data processing
created and managed Synapse notebooks utilizing PySpark for complex data transformations
designed and developed end-to-end ETL pipelines using Azure Data Factory , orchestrating workflows to ingest, transform, and load data from multiple sources
established CI/CD pipelines in Azure DevOps for continuous integration and deployment automation
Requirements
bachelor's degree in Computer Science or a related field
proven experience as an Azure Data Engineer or in a similar role
strong expertise in Azure, ETL methodologies, tools, and processes
proficiency in PySpark, CI/CD, and Power BI
experience with database technologies such as PL/SQL
excellent analytical, problem-solving, and troubleshooting skills
strong attention to detail and the ability to work independently