Job Description
Job Summary:
- Responsible for designing, building, and deploying scalable and reliable data solutions on the Microsoft Azure, with focus on Azure Data Analytics services.
- The ideal candidate should have extensive experience with Azure data technologies such as Azure Data Factory, Azure SQL Database, Azure Data Lake Storage, Azure Synapse Analytics, Azure Data bricks.
- The candidate should also have a deep understanding of data modeling, data warehousing, ETL processes, and data analytics.
- The Azure Data Analytics Engineer will work closely on understanding requirements & design data solutions meeting the needs.
Key Responsibilities:
- Design, build and deploy data analytics solutions on the Azure cloud platform.
- Develop ETL/ELT processes using Azure Data Factory, Azure Data bricks, Azure Synapse with focus on DataIngestion into lake.
- Create and maintain data models and data warehouses on Azure SQL Database and Azure Synapse Analytics.
- Develop and deploy data analytics and visualization solutions using Azure Synapse Analytics, Power BI, or similar tools.
- Optimize data solutions for performance, scalability, and reliability.
- Implement data security and privacy controls to protect data on the Azure platform.
- Collaborating with stakeholders to understand their data analytics requirements and design solutions that meet their needs.
Requirements
- 5-7 Years of experience in Azure Data Engineering
- Extensive experience with Azure data technologies such as Azure Data Factory, Azure SQL Database, Azure Data Lake Storage, Azure Synapse Analytics, Azure Databricks.
- Deep understanding of data modeling, data warehousing, ETL processes, and data analytics.
- Familiarity with data security and privacy controls on the Azure platform.
- Programming languages i.,e Python(PySpark), SQL, and Scala.
Preferred Qualifications:
- Certifications such as Azure Data Engineer/Azure Solutions Architect.
- Knowledge with/of data visualization tools such as Power BI, Tableau, or similar.
- Experience with latest technologies for data i.e., Kafka