Job Description
: Design and develop conceptual, logical, and physical data models for data lakes, data warehouses, and operational databases. Collaborate with data architects to ensure data models align with overall data architecture and business requirements. Work closely with data engineers to translate logical data models into efficient database schemas and structures. Conduct data discovery and analysis to identify data sources, understand data relationships, and ensure. data quality. Develop and maintain data dictionaries, data lineage documentation, and metadata management processes. Partner with data analysts and visualization experts to understand data consumption requirements and optimize data models for efficient querying and reporting. Implement data quality checks, data governance, and data lineage processes to ensure data integrity and regulatory compliance. Stay up-to-date with data modeling best practices, industry standards, and emerging technologies in the data management domain. Provide guidance and mentorship to junior data modelers and cross-functional teams on data modeling principles and techniques. Qualifications: Proven experience in data modeling, database design, and data architecture, with a strong understanding of data lake architectures and data warehousing principles. Proficiency in data modeling tools and techniques, such as Entity-Relationship Diagrams (ERDs), dimensional modeling, and normalization. Solid understanding of database management systems (DBMS), SQL, and data querying languages. Knowledge of data quality, data governance, and metadata management best practices. Experience in AWS cloud environments and familiarity with AWS data services (e.g., Redshift, Glue, Athena, etc.). Strong problem-solving, analytical, and critical thinking skills. Excellent communication and collaboration abilities to work effectively with cross-functional teams. Preferred Qualifications: Experience with data modeling tools like erwin Data Modeler, ER/Studio, or PowerDesigner. Familiarity with agile methodologies, DevOps practices, and CI/CD pipelines. Knowledge of big data technologies like Apache Hadoop, Apache Spark, and Apache Kafka. Experience with data visualization tools like Tableau or Power BI. Certification in data modeling, data management, or related fields. Regards
hidden_emailEmployement Category:
Employement Type: Full time
Industry: IT
Role Category: IT Services & Consulting
Functional Area: Not Applicable
Role/Responsibilies: ErWin Data Modeler
Keyskills:
Data Modeling
Database Design
Data Architecture
Data Warehousing
Dimensional Modeling
Normalization
SQL
Data Quality
Data Governance
Metadata Management
Analytical Skills
Communication Skills
Agile Methodologies
Data Lake Architectures
EntityRelationship Diagrams ERDs
AWS Cloud Environments
AWS Data Services
ProblemSolving
DevOps Practices
CICD Pipelines
Big Data Technologies
Data Visualization Tools
Certification in Data Modeling