Data Platform Engineer

The Data Engineer has a passion for data, and creatively leverages expertise with data tools and programming languages to assess, transform, organize, optimize, and exploit systems and platform data. Further, you will be responsible for generating representative data sets for demonstrations, technology evaluation, systems development, and data science initiatives.

Required Experience:


+ Years
Job Locations:


Location Restrictions:


Basic Qualifications and

You will be expected to help automate processes, and articulate methods to gain data management efficiencies, as well as implementing nd adopting of Data Engineering Best Practices to include mentoring projects and team members toward success.

  • Collaborating directly with business and technology departments to define future-state business capabilities &requirements, and translating those into transitional and target state data architectures
  • Analyzing the current technology environment to detect critical deficiencies, and recommend solutions for improvement
  • Designing, implementing, and maintaining data warehouses and near real-time data pipelines via the practical application of existing and new data engineering techniques
  • Developing continuous integration and continuous deployment pipelines for data solutions that include automated unit & integration testing
  • Mentoring, motivating, and supporting the team to achieve organizational objectives and goals

Required Skills and Experience
  • Experience building in Microsoft BI Toolsets (SSRS/SSAS/SSIS/Power BI)
  • Experience on data warehouse/data lake projects
  • 4+ years of data engineering, schema design, dimensional data modeling, and/or data management experience
  • MDM (Master Data Management)experience is a plus, such as Master Data Services or equivalent technology
  • Proficient with data management tools and languages such as Python, SQL, Java, and use of Git
  • Demonstrated experience with extracting, cleaning, managing, optimizing, and exploiting large and very complex data sets
  • Experience with best practices for computing, storage, and transfer optimization in processing large volumes of data
  • Can perform data discovery
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