What are the responsibilities and job description for the Data Engineer - Cleveland/Columbus position at SUPERIOR BEVERAGE GROUP?
Job Details
Job Location: Cleveland - Glenwillow, OH
Position Type: Full Time
Salary Range: Undisclosed
Job Shift: Day
Description
THIS IS NOT A REMOTE POSITION - WE WILL ONLY ACCEPT APPLICATIONS FROM THE SURROUNDING CLEVELAND AND COLUMBUS AREAS.
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.
Data Engineer Schedule
- Monday through Friday. 8am-5pm reporting to our location in Cleveland, Ohio or Columbus, Ohio
Data Engineer Benefits Include:
- Paid training and career development
- Company supplied technical equipment
- Workout facility
- Vacation time, personal days, and paid holidays
- Company events
- Safe work environment
- Medical, Dental, Vision
- HSA
- Prescription drug coverage
- 401(k)
- Additional benefits
Data Engineer Job Functions:
- Gather data inputs from multiple sources and develop workflows for processing data
- Build deep understanding of data structures and our technology stack (Tableau, Alteryx, database and cloud-storage, embedding)
- Build custom data sources using your data wrangling skills
- Develop dashboards, reporting tools and workflows to meet product development business objectives
- 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
What you need for the Data Engineer role:
- Bachelors 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, 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
