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Corporate Talent Acquisition Recruiter with Pella Corporation Overview
We are seeking a talented and experienced Data Modeler to join our dynamic team. This role requires a highly skilled individual with a strong background in data modeling, specifically within the contexts of manufacturing, supply chain, and logistics. The ideal candidate will be capable of developing robust and scalable data models that drive efficiency and innovation across our operations.
Key Responsibilities - Data Modeling: Design, develop, and maintain data models for various business applications in manufacturing, supply chain, and logistics.
- Data Integration: Ensure seamless integration of data across various platforms, including Azure and Databricks.
- Data Governance: Establish data governance policies and procedures to ensure data accuracy, consistency, and security.
- Collaboration: Work closely with business analysts, data engineers, and other stakeholders to understand data requirements and translate them into effective data models.
- Optimization: Continuously refine data models to improve performance and efficiency.
- Documentation: Maintain comprehensive documentation of data models, data flows, and data dictionaries using Hackolade.
- Training and Support: Provide training and support to team members on data modeling best practices and tools.
Qualifications - Educational Background: Bachelor's degree in Computer Science, Information Technology, or a related field.
- Experience: Minimum of 5 years of experience in data modeling, with a focus on manufacturing, supply chain, and logistics.
- Technical Skills:
- Fluent in SQL Query writing
- Strong in Python
- Proficiency in Azure and Databricks for data integration and management.
- Expertise in using Hackolade for data modeling and documentation.
- Familiarity with Alation for Data Catalog.
- Strong understanding of SQL and NoSQL databases.
- Experience with ETL processes and data warehousing.
- Knowledge of data governance and data security best practices.
Analytical Skills: Strong analytical and problem-solving skills, with the ability to analyze complex data sets and design optimal data models.
Communication Skills: Excellent verbal and written communication skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.
Team Player: Ability to work collaboratively in a team environment and build strong working relationships with colleagues.
Preferred Skills - Certifications: Relevant certifications in Azure, Databricks, or data modeling.
- Industry Experience: Previous experience working in a manufacturing, supply chain, or logistics environment.
Seniority level Mid-Senior level
Employment type Full-time
Job function Information Technology and Manufacturing
Industries Wholesale Building Materials