About the role
Walk in at Mumbai
Date 25 July 26
Job Description
- 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.
- Knowledge of integrating different systems with python.
- Good documentation skills