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.
Proficiency in programming languages (e.g., Python, SQL, PySpark etc.) and data manipulation tools.
Manage Azure Data Storage Solutions including Azure Data Lake and different databases.
Knowledge of DevOps tools.
Manage and monitor the health of data integration processes, troubleshooting.
Experience in Data Migrations (performing 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 and Azure API Apps.
Understanding of on-premises and cloud-based data architecture and integration.
Knowledge of DevOps practices and tools.
Positive-to-Have
Knowledge of integrating different systems with Python.
Valuable documentation skills.
Responsibilities / Expectations from the Role
Develop fully functional Azure data pipelines.
Data migrations.
Team player, responsive, organized.
Solid analytical, problem-solving, client-facing, troubleshooting and multi-tasking skills.
Data modeling, ETL processes and Data Warehousing.
Data security, compliance standards and data privacy policies.