About the role
Date- 25-Jul-26
JD
Must-Have
●Design, develop and implement data pipelines to perform (ETL) from multiple sources into Azure Services.
●Experience on Azure Data & Analytics PaaS Services: Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, Azure Databricks, Azure IoT, Azure HDInsight + Spark, Azure Cosmos DB, Azure Stream Analytics and Azure SQL DB, etc.
●Proficiency in programming languages (e.g., Python, SQL, PySpark etc.) and data manipulation tools.
●Manage Azure Data Storage Solutions including Azure Data Lake, different databases.
●Knowledge of DevOps tools
●Manage and monitor the health of data integration processes, troubleshooting
●Experience in Data Migrations (Perform Data Migrations to Azure from on-premises or other platforms)
●Experience with Azure ARM templates, PowerShell and CI/CD using Azure DevOps.
●Experience with exposing data to end-users via Power BI, Azure API Apps.
●Understanding of on-premises and cloud-based data architecture and integration.
●Knowledge of DevOps practices and tools.
Qualifications: BACHELOR OF ENGINEERING