Senior Data Engineer

Spring Hill, TN

Senior Data Engineer - Full Time- Direct Hire

H1B'S WELCOME! Relocation Assistance Available
  • Experienced building ETL solutions using: Azure Data Factory, Azure Logic Apps or SSIS
  • Experienced building ETL solutions that pull flat files into a DB using various technologies
  • Experienced with various functions within SQL

  • Bachelor's degree in Computer Science or equivalent
  • Master's degree Computer Science, MBA or equivalent preferred
  • Six (6) years or more experience in Applied Project(s)
  • Experience in demonstrating, digital transformation, data management in an educational/project
  • Six (6) years or more experience in data extraction, transformation & loading, and agile development
  • Experience working in a cloud environment
  • Four (4) years or more experience working in an individual contributor role as a key member of the team that others rely on
  • Experience using tools: ETL tools (Alteryx or SSIS) and Data manipulation tools (SQL) Object-oriented development stacks (.net)
  • Exposure to the development of predictive analytic solutions using predictive analytics tools: Alteryx, R, Python, Power BI, Tableau preferred
  • Strong verbal and written communication skills, with an ability to express complex technical concepts in business terms
  • Support product innovation, working closely with technology throughout the build, test, and release of the product using agile methodologies
  • Perform the extraction, transformations, and loading from the source systems and the data lake to the analytics products using independently developed logic
  • A specialist of data integration and analytics, bringing the required qualitative and quantitative skills to enable the product teams
  • Coach, mentor and learn from the upcoming generation of product experts demonstrating thought leadership across disciplines and domains to facilitate consensus, buy-in, and adoption
  • Enhance data maturity and integration for products by interacting with operations to standardize the core value-add functionality, enabling a multiplier effect
  • Challenge the status quo guiding entrepreneurial innovation in both analytical products and the curation of new data sources elevating analytics beyond data reporting and dashboarding to the delivery actionable insights
  • Knowledge of Business, understanding the complexity of the supply chain world and the role that data has within this ecosystem
  • Perform other duties as assigned