Data Management (Junior/Senior)

In addition to creating and maintaining an optimal pipeline architecture, typical duties and responsibilities for a Data Engineer position includes:  Assembling large, complex sets of data that meet non-functional and functional business requirements Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using Azure, AWS and SQL technologies Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition Working with client stakeholders including data, design, product and executive teams and assisting them with data-related technical issues Working with client stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues   Qualitifications: Ability to build and optimize data sets, 'big data' data pipelines and architectures  Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions Excellent analytic skills associated with working on unstructured datasets Ability to build processes that support data transformation, workload management, data structures, dependency and metadata