Sr. Azure Data Engineer

Exciting Azure Data Engineer opportunity! You will work with a talented team of Azure Data Lake Architects and Principle Azure Data Engineers to modernize this corporations Data Warehouse Environment! Chance to expand your Azure Data Engineering expertise, expose to Azure Data Architecture! Competitive compensation, tremendous benefit package and 401k. Cutting edge technology, incredible culture and working environment!Employee testimonials:Fantastic Place to Work. Hope to finish out the rest of my career with this great company! Good salary and package deal Friendly environment Great career advancement Everyone loves working here and you feel it! Great company, culture, and work-life balance!Title: Azure Data Engineer Location: Stamford, CT Salary: $130,000 – 160,000 + Generous Bonus, Incredible benefits and retirement package!Responsibilities: Great opportunity for an Azure Data Engineer who has at least 3 years working in an Azure Environment, that has experience deploying modern data solutions leveraging components like Azure DataBricks, Azure Synapse, Azure Data Factory, Data Flows, Azure Data Lake, Azure SQL. You will work with a small team responsible for the design, development, implementation, operation, and ongoing support of a new Azure Data Lake/Data Warehouse. Provide support in designing and overseeing enterprise-grade data pipelines and data stores. Implement automation and streamline processes to optimize the entire data and analytics platform, ensuring efficient throughput and high-performance outcomes Designing, implementing, and managing data extraction, transformation, and loading (ETL) processes Create, maintain, and continuously enhance scalable data pipelines, while also developing new data source integrations to accommodate the growing volume and complexity of data. Creating data processing and integration solutions for both batch and real-time scenarios, proficiently handling structured and unstructured dataRequirements: Demonstrated expertise in Microsoft Azure development. 3-5 years of hands-on Data Warehouse architecture and development experience within the Microsoft Azure environment Must have experience deploying modern data solutions leveraging components like Azure functions, Azure DataBricks Azure Synapse, Azure Data Factory, Data Flows, Azure Data Lake, Azure SQL. Strong level of understanding on Azure Synapse, ADLS, and Azure DevOps. Exhibit an understanding of Data Lake architectures, including raw, enriched, and curated layer concepts, and ETL/ELT operations. Exhibit a solid understanding of database design, data warehousing concepts, big data platforms, and ETL operations.