Data Modeler
3 weeks ago
Position Title: Data Modeler
Location: Hybrid- Work closely with business stakeholders and analysts to align data needs with business requirements and organization’s strategic goals
- Conduct data discovery and trace data lineage
- Write complex SQL queries for intricate data analysis, profiling, and retrieval
- Develop and maintain technical documentation including database designs, ER diagrams, data flow charts, system architecture diagrams, data lineage, metadata, and other relevant details
- Manage and update a data dictionary, source inventories, and reference/master data sets
- Create and refine data models to accurately represent the organization’s data assets and inter-relationships, based on a clear understanding of business requirements
- Develop and maintain conceptual, logical, and physical data models
- Design and implementation of schemas, tables, views, indexes, stored procedures, and other database objects.
- Enforce data quality and governance to ensure data accuracy, reliability, and compliance
- Integrate diverse data sources ensuring that data can be combined and accessed effectively
- Collaborate with team members to achieve objectives and adhere to deadlines.
- Collaborate with data governance teams to uphold data quality, security and compliance standards within the Data Lakehouse environment.
- Provide technical guidance, and support to team members, fostering a culture of continuous learning and innovation.
- If you feel you have the equivalent skills, please apply*
- Bachelor’s or Master’s degree in computer science
- Minimum of 7 years of experience in data modeling, including experience with relational, star and snowflake schemas
- Strong expertise in database design, data architecture, ETL/ELT and data warehousing
- Proficiency in Microsoft SQL Server and other databases
- Experience with Microsoft Power BI, Databricks, Apache Spark, and Microsoft Access
- Experience with Azure Cloud, Python development
- Familiarity with data integration, ETL, visualization tools
- Proficient with Data Modelling Tools
- Strong understanding of data governance, data quality and security best practices, alongside strong analytical and problem-solving skills, with the ability to troubleshoot complex issues
- Ability to work collaboratively in a team environment and strong customer focus, as well as working in a fast-paced environment and manage multiple tasks simultaneously
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