Data Engineer

3 weeks ago


New York, New York, United States BEHAVIORALLY, Inc. Full time

About the Role:

Behaviorally, Inc. is seeking a highly skilled Data Engineer to join our team. As a Data Engineer, you will play a key role in transforming structured, semi-structured, and unstructured data into actionable insights.

Key Responsibilities:

  • Design, 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 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.

Requirements:

  • 5+ years of hands-on experience in data management leveraging Microsoft Azure Cloud.
  • Experience with data integration and ETL processes, including Azure Data Factory, Power BI Dataflow, and SSIS.
  • Experience with database management, including Azure SQL Database, Azure Synapse Analytics, and Azure Data Lake Storage.
  • Experience with compute, including Azure Functions.
  • Experience with monitoring, including Azure Monitor.
  • Experience with container orchestration, including Kubernetes.
  • Certifications in data engineering AI/ML technologies and Azure, such as Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect.

Preferred Qualifications:

  • Experience working and communicating cross-functionally in a team environment.
  • Live within commuting distance to a Behaviorally office.

About Behaviorally:

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 optimize their packaging and drive sales.

Our innovative tools are used by all major industry players to improve in-store and online transactions in sectors such as Consumer Packaged Goods, Health and Well-Being, Technology, and Retail.



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