Data Engineer

Title: Data Engineer MUST: Hybrid in New York City, NY No Sponsorship provided. Full-Time position Minimum Qualifications: The role is ideal for someone who thrives in a fast-paced, cutting-edge technology environment. Proven Experience with data modeling and developing Enterprise Data Warehouse solutions - OLTP, OLAP, Dimensions, Facts, and Data modeling. Experience in designing and implementing data pipelines for BI and Machine Learning solutions. Experience with data security and privacy best practices. Experience with on Azure Monitor, Load Balancer, Application Gateway, Azure Functions, Azure Data Factory Integrations 5 years of hands-on experience in Data Management leveraging Microsoft Azure Cloud: Data integration and ETL: Azure Data Factory, Power BI Dataflow, SSIS Database Management: Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, MSSQL, Cosmos DB, Analysis Services Compute: Azure Functions Monitoring: Azure Monitor Container orchestration: Kubernetes Experience working and communicating cross functionally in a team environment. Live within commuting distance to one of Behaviorally's offices Preferred Qualifications: Certifications in data engineering AI/ML technologies and Azure, such as Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect Responsibilities: In this role, you will play a key role in transforming structured, semi structured, and unstructured data into actionable insights. Lead, designed, develop, and deliver large-scale data systems, data processing, and data transformation projects. Design and develop scalable high performance data pipelines using Azure cloud platform technologies. Build, test, and debug the software packages and pipelines required for optimal extraction, loading, and transformation (ELT) of data from a wide variety of data sources. Implement best practices for data management, security, and governance. Document data pipelines, data models, and reports. Summary: Behaviorally is a company specializing in data intelligence to influence consumer behavior at the point of purchase. We leverage the world's largest database of behavioral consumer pack design metrics to help brands optimizing their packaging and drive sales. Our innovative tools are used by all major industry players to improve the in-store and online transactions in sectors such as Consumer Packaged Goods, Health and Well-Being, Technology, and Retail. Behaviorally is seeking a Data Engineer to design and develop large-scale data systems and high-performance data pipelines using Azure technologies. Ideal candidates thrive in a fast-paced environment and have a minimum of 5 years of experience in data management and integration, with expertise in Azure Data Factory, Azure SQL Database, Azure Synapse Analytics, and Kubernetes. Responsibilities include transforming structured and unstructured data into actionable insights, implementing data security best practices, and documenting data models and pipelines. Preferred candidates will have relevant Azure certifications and experience with data modeling, ETL processes, and BI solutions. Candidates must live within commuting distance to a Behaviorally office.