Senior Data Modeller

Role Overview: You are a talented and experienced Senior Data Modeler who will be responsible for designing, implementing, and maintaining data models to enhance data quality, performance, and scalability. Your role involves collaborating with cross-functional teams to ensure that the data models align with business requirements and drive efficient data management. Key Responsibilities: - Design, implement, and maintain data models that support business requirements, ensuring high data quality, performance, and scalability. - Collaborate with data analysts, data architects, and business stakeholders to align data models with business needs. - Leverage expertise in Azure, Databricks, and data warehousing to create and manage data solutions. - Manage and optimize relational and NoSQL databases such as Teradata, SQL Server, Oracle, MySQL, MongoDB, and Cassandra. - Contribute to and enhance the ETL processes and data integration pipelines to ensure smooth data flows. - Apply data modeling principles and techniques, such as ERD and UML, to design and implement effective data models. - Stay up-to-date with industry trends and emerging technologies, such as big data technologies like Hadoop and Spark. - Develop and maintain data models using data modeling tools such as ER/Studio and Hackolade. - Drive the adoption of best practices and standards for data modeling within the organization. Qualifications Required: - Minimum of 6+ years of experience in data modeling, with a proven track record of implementing scalable and efficient data models. - Expertise in Azure and Databricks for building data solutions. - Proficiency in ER/Studio, Hackolade, and other data modeling tools. - Strong understanding of data modeling principles and techniques (e.g., ERD, UML). - Experience with relational databases (e.g., Teradata, SQL Server, Oracle, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra). - Solid understanding of data warehousing, ETL processes, and data integration. - Familiarity with big data technologies such as Hadoop and Spark is an advantage. - Industry Knowledge: A background in supply chain is preferred but not mandatory. - Excellent analytical and problem-solving skills. - Strong communication skills, with the ability to interact with both technical and non-technical stakeholders. - Ability to work well in a collaborative, fast-paced environment.,