What are the responsibilities and job description for the Data Modeler position at HatchPros?
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No H1
Local
Hybrid
Introduction
We are seeking an experienced Data Modeler to join our dynamic team. As a Data Modeler, you will play a crucial role in designing, creating, and managing data models that support our business operations and decision-making processes. The ideal candidate will possess a deep understanding of data modeling techniques, strong analytical skills, and the ability to work collaboratively with cross-functional teams.
Key Responsibilities
No H1
Local
Hybrid
Introduction
We are seeking an experienced Data Modeler to join our dynamic team. As a Data Modeler, you will play a crucial role in designing, creating, and managing data models that support our business operations and decision-making processes. The ideal candidate will possess a deep understanding of data modeling techniques, strong analytical skills, and the ability to work collaboratively with cross-functional teams.
Key Responsibilities
- Data Modeling:
- Design and develop logical and physical data models that align with business requirements and objectives.
- Create and maintain data models to support data integration, data warehousing, and business intelligence initiatives.
- Translate business requirements into data models, including entities, attributes, relationships, and constraints.
- Database Design:
- Develop and optimize database schemas, tables, indexes, and relationships to ensure efficient data storage and retrieval.
- Collaborate with database administrators and developers to implement and maintain database structures.
- Data Analysis:
- Analyze and interpret complex data sets to identify trends, patterns, and insights that drive business decisions.
- Perform data profiling and data quality assessments to ensure data accuracy and consistency.
- Documentation and Communication:
- Create and maintain comprehensive documentation for data models, data dictionaries, and metadata.
- Communicate effectively with stakeholders, including business analysts, data scientists, and IT teams, to gather requirements and provide updates on data modeling activities.
- Data Integration:
- Design and implement data integration strategies to ensure seamless data flow between various systems and applications.
- Work with ETL (Extract, Transform, Load) processes to support data integration and data warehousing solutions.
- Standards and Best Practices:
- Adhere to data modeling standards, best practices, and methodologies to ensure consistency and quality across data models.
- Stay current with industry trends and advancements in data modeling and database technologies.
- Education and Experience:
- Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. Advanced degree preferred.
- Experience in data modeling, database design, and data analysis.
- Experience with data modeling tools such as Erwin Data Modeler, IBM InfoSphere Data Architect, or similar.
- Technical Skills:
- Strong proficiency in SQL and relational database management systems (RDBMS).
- Experience with data warehousing concepts and technologies (e.g., Snowflake, Amazon Redshift, Google BigQuery).
- Knowledge of data integration tools and ETL processes (e.g., Informatica, Talend, Apache NiFi).
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
