Role: Azure Data Engineer

Location: Raleigh, NC ( 5 Days Work from office)

Contract

Note: Need more than 12+ years of experience in IT and Strong expertise in Big Data technologies like Spark, Kafka and Hive, Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, Azure App Service, ETL Designs

Job Description:

• Expert level skills writing and optimizing complex SQL
• Experience with complex data modelling, ETL design, and using large databases in a business environment
• Experience with building data pipelines and applications to stream and process datasets at low latencies
• Fluent with Big Data technologies like Spark, Kafka and Hive
• Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service is required
• Designing and building of data pipelines using API ingestion and Streaming ingestion methods
• Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential
• Experience in developing NO SQL solutions using Azure Cosmos DB is essential
• Working knowledge of Python is desirable
• Designing and implementing scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services
• Managing and optimizing data storage using Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Cosmos DB
• Implementing data security measures, including encryption, access controls, and auditing, to protect sensitive information
• Automating data pipelines and workflows to streamline data ingestion, processing, and distribution tasks
• Utilizing Azure's analytics services, such as Azure Synapse Analytics, to provide insights and support data-driven decision-making.