Senior Data Modeller

This role at Weekday's client requires a talented and experienced Senior Data Modeler to join the team. As a Senior Data Modeler, you will play a crucial role in designing, implementing, and maintaining data models that enhance data quality, performance, and scalability. Your responsibilities will involve collaborating with various teams, including data analysts, architects, and business stakeholders, to ensure that the data models align with business requirements and facilitate efficient data management. Key Responsibilities: - Design, implement, and maintain data models that support business requirements, focusing on high data quality, performance, and scalability. - Collaborate with data analysts, data architects, and business stakeholders to ensure alignment of data models with business needs. - Utilize expertise in Azure, Databricks, and data warehousing to develop and manage data solutions. - Manage and optimize relational and NoSQL databases such as Teradata, SQL Server, Oracle, MySQL, MongoDB, and Cassandra. - Contribute to enhancing ETL processes and data integration pipelines for seamless data flows. - Apply data modeling principles and techniques like ERD and UML to create effective data models. - Stay updated with industry trends and emerging technologies, including big data technologies like Hadoop and Spark. - Develop and maintain data models using tools such as ER/Studio and Hackolade. - Drive the adoption of best practices and standards for data modeling within the organization. Skills and Qualifications: - Minimum of 6+ years of experience in data modeling, with a track record of implementing scalable and efficient data models. - Proficiency in Azure and Databricks for building data solutions. - Strong understanding of data modeling principles and techniques such as ERD and UML. - Experience with relational databases (e.g., Teradata, SQL Server, Oracle, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra). - Solid knowledge of data warehousing, ETL processes, and data integration. - Familiarity with big data technologies like Hadoop and Spark is advantageous. - Industry Knowledge: Background in supply chain is preferred but not mandatory. - Excellent analytical and problem-solving skills. - Strong communication skills to engage with technical and non-technical stakeholders effectively. - Ability to thrive in a collaborative, fast-paced environment.,