Overview
Remote
On Site
Contract - W2
Skills
Data Engineering
FOCUS
Visualization
SQL
Python
Data Modeling
Data Warehouse
Data Visualization
Tableau
Microsoft Power BI
Analytical Skill
Conflict Resolution
Problem Solving
Collaboration
Supply Chain Management
Reporting
Extract
Transform
Load
Workflow
Dashboard
Job Details
Job Description
REMOTE
Summary:
We are seeking a highly skilled Data Engineer to join our team and provide data engineering support for the Enterprise Solutions organization. The successful candidate will have experience in data modeling design and implementation, ETL pipeline building, metrics design and creation, and dashboard/visualization building.
Key Responsibilities:
Design and implement data models to meet business requirements
Build and maintain ETL pipelines to extract, transform, and load data from various sources
Create dashboards and visualizations to communicate insights and trends to stakeholders
Analyze data to identify areas for improvement and optimize data processes
Requirements:
10+ years of industry experience in data engineering, with a focus on data modeling, ETL pipeline implementation, and dashboard/visualization building
Proficient in SQL and Python
Strong understanding of data modeling concepts and data warehousing principles
Experience with data visualization tools such as Tableau or Power BI
Excellent analytical and problem-solving skills
Typical Day-to-Day in the role
Collaborate closely with supply chain business partners to understand key metrics and data tracking requirements
Develop and implement data functions that support business needs and reporting
Design and build scalable data models to organize and structure data effectively
Create and maintain ETL workflows to extract, transform, and load data for analysis readiness
Develop dashboards and visualizations to present insights clearly to stakeholders
Analyze data to explain trends, answer partner questions, and provide actionable recommendations
REMOTE
Summary:
We are seeking a highly skilled Data Engineer to join our team and provide data engineering support for the Enterprise Solutions organization. The successful candidate will have experience in data modeling design and implementation, ETL pipeline building, metrics design and creation, and dashboard/visualization building.
Key Responsibilities:
Design and implement data models to meet business requirements
Build and maintain ETL pipelines to extract, transform, and load data from various sources
Create dashboards and visualizations to communicate insights and trends to stakeholders
Analyze data to identify areas for improvement and optimize data processes
Requirements:
10+ years of industry experience in data engineering, with a focus on data modeling, ETL pipeline implementation, and dashboard/visualization building
Proficient in SQL and Python
Strong understanding of data modeling concepts and data warehousing principles
Experience with data visualization tools such as Tableau or Power BI
Excellent analytical and problem-solving skills
Typical Day-to-Day in the role
Collaborate closely with supply chain business partners to understand key metrics and data tracking requirements
Develop and implement data functions that support business needs and reporting
Design and build scalable data models to organize and structure data effectively
Create and maintain ETL workflows to extract, transform, and load data for analysis readiness
Develop dashboards and visualizations to present insights clearly to stakeholders
Analyze data to explain trends, answer partner questions, and provide actionable recommendations
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.