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Data Engineer

Job Details

Cleveland - Glenwillow, OH
Full Time
Day

Description

The Data Engineer will work in conjunction with key stakeholders to gather, analyze and compile data to utilize in strategic business planning to achieve company objectives. This is not a remote position.

 

Benefits:

  • Paid training and career development
  • On-site workout facility
  • Vacation time, personal days, and paid holidays
  • Company Events
  • Medical/Dental/Vision
  • HSA
  • Prescription drug coverage
  • 401(k)

Key Responsibilities: 

  • Gather data inputs from multiple sources and develop workflows for processing data
  • Build deep understanding of data structures and our technology stack (Tableau, Alteryx, Azure SQL Server, database and cloud-storage, embedding)
  • Build custom data sources and processes using your data wrangling skills
  • Develop dashboards, reporting tools and workflows to meet product development business objectives
  • Database management and maintenance
  • Partner with stakeholders to create a shared vision on how to solve client challenges
  • Validate and test your work to ensure accuracy and quality of data
  • Provide support and training to stakeholders on reporting tools and reports
  • Collaborate with our team of creative and passionate professionals

Qualifications

Qualifications:

  • Bachelor’s degree or equivalent work experience
  • 3+ years of data analytics and/or BI and Analytics experience
  • Love for statistical modeling and machine learning algorithms, including but not limited to regression, simulation, scenario analysis, clustering, decision trees, neural networks
  • Demonstrated understanding of SQL, relational database structures, and cloud-based data platforms
  • Practical knowledge of industry standard BI tools such as Tableau (preferred), Power BI, Looker, Qlik, etc.; as well as ETL tools such as Alteryx (preferred), SSIS, Informatica, Microsoft Fabric, etc.
  • Experience with cloud platforms and their components (AWS and Azure, including their data transformation and ETL functionality)
  • ETL / Data Integration Experience, Web-Scraping
  • Real world experience with current object-oriented programming languages such as Python, R, Ruby, Java, Scala, etc.
  • Web development experience with JavaScript, HTML, CSS, React.JS, Django, Node.JS
  • An intuitive ability to use data to tell compelling stories supported by creative and engaging visualizations
  • Attention to detail, speedy cadence, people skills that motivate and a habit of improvement
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