Data Modeler

ONLY W2 CANDIDATES We are seeking a highly skilled and motivated Data Modeler to join our dynamic Data Engineering team. The ideal candidate will play a pivotal role in designing, implementing, and maintaining data models that support our business objectives. This position requires a deep understanding of data modeling principles and practices, as well as a strong foundation in data engineering. The Senior Lead Data Engineering will collaborate with cross-functional teams to ensure data integrity, accessibility, and usability across the organization. Responsibilities: • Design and develop robust data models that meet business requirements and enhance data quality. • Collaborate with stakeholders to gather and analyze data requirements, translating them into effective data models. • Implement best practices for data modeling, ensuring consistency and standardization across all data assets. • Work closely with data engineers to optimize data pipelines and ensure efficient data flow. • Conduct data profiling and analysis to identify data quality issues and recommend solutions. • Maintain comprehensive documentation of data models, data flows, and data dictionaries. • Provide guidance and mentorship to junior data engineers and modelers. • Stay updated on industry trends and emerging technologies related to data modeling and engineering. Mandatory Skills: • Proficiency in data modeling techniques, including conceptual, logical, and physical data modeling. • Strong understanding of data warehousing concepts and ETL processes. • Experience with data modeling tools such as Erwin, IBM InfoSphere Data Architect, or similar. • Solid knowledge of SQL and experience with relational databases. • Familiarity with NoSQL databases and big data technologies. • Ability to analyze complex data sets and derive actionable insights. • Excellent problem-solving skills and attention to detail. • Strong communication skills, with the ability to convey technical concepts to non-technical stakeholders. Preferred Skills: • Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud. • Knowledge of data governance and data quality frameworks. • Familiarity with data visualization tools like Tableau, Power BI, or similar. • Understanding of machine learning concepts and their application in data modeling. • Experience in Agile methodologies and project management tools. Qualifications: • Bachelor's degree in Computer Science, Information Technology, or a related field. • Relevant certifications in data modeling or data engineering are a plus. • Demonstrated ability to work collaboratively in a team-oriented environment. • Strong organizational skills and the ability to manage multiple priorities effectively.