Azure Data Engineer

Title : Azure Data Engineer .

Location : Weehawken, NJ

Type : fulltime

Required Skills : SQL, datamodelling , ETL ,Spark, Kafka, Hive , Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service

Job Description :

• Bachelor's or Master's degree in Computer Science, Information Systems, Finance, or a related field.
• 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
• Thorough understanding of Azure and AWS Cloud Infrastructure offerings
• 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
• Monitoring and troubleshooting data-related issues within the Azure environment to maintain high availability and performance
• 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.
• Documenting data procedures, systems, and architectures to maintain clarity and ensure compliance with regulatory standards
• Providing guidance and support for data governance, including metadata management, data lineage, and data cataloging