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Sr. Data Engineer

Location : Milwaukee, WI
Job Type : Direct
Hours : Full Time
Required Years of Experience : 3+
Required Education : Bachelor's
Travel : No
Relocation : No

Job Description :

Position Summary

As a critical component of the Business Intelligence (BI) team, the Sr. Data Engineer will be leading the development of key data sets and designing solutions that solve complex business problems today as well as scale to incorporate additional sources of information to answer future questions in an evolving analytics space.  You will be designing data solutions that are leveraged in leading enterprise BI technologies to deliver superior analytics to a growing self-service community of analysts throughout the organization.  In this position, you will be working with medium to large data sets and interacting with all levels and departments within the organization.  The ideal candidate will have a proven track record of data model creation and analysis, data preparation and design, and implementing robust data solutions.


Required Qualifications :

  • Design, model and implement source system data into technical solutions of reporting schemas for self-service analytics

  • Leverage best practices to design and implement enterprise scalable Extract, Transform, Load (ETL) solutions

  • Engaging with key business Subject Matter Experts (SMEs) to build data sets to be leveraged both analytical and predictive models.  Sample projects include:

o   Inventory analytics

o   Forecasting & Budgeting enhancement

o   Product and Customer alignment & optimization

  • Partnering with business leaders and SME to ensure data integrity across reporting efforts

  • Advocate for data quality and increase awareness among data producers and consumers

  • Mentor and/or provide leadership to key data initiatives to members of the team

  • Other projects as assigned

Leadership Competencies:

·       Self-Directed

·       Analytical

·       Results driven/ Action oriented


Experience and Skill Required:

  • Bachelor’s or Master’s degree - concentrations in IT or Business preferred

  • 5+ years of data design, ETL and architecture implementation

  • Substantial knowledge of database and data structures at an enterprise level:

    • Proficiency in database tools such as Oracle, Microsoft SQL Sever

    • Experience with snowflakes, star schemas, and slowly-changing-dimensions

  • Desire to work with cross functional teams to drive objectives

  • Proven record for designing and implementing ETL solutions (e.g. SSIS, Informatica, Alteryx)

  • Strong skills with Microsoft Office software including Word, Excel, Access, PowerPoint and Outlook         

  • Exceptional verbal and written communication skills

  • Self-motivated and able to work independently as well as collaboratively in team environments

  • Strong organizational and time management skills 

Beneficial, but not required:

·       Knowledge of R based statistical modeling tools & techniques

·       Working knowledge of Dynamics AX

·      Experience with Tableau reporting / data visualization tools



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