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Data Design Expert
2 months ago
CN is a world-class transportation leader and trade-enabler. As a critical component of our Information & Technology (I&T) team, we are seeking a skilled Data Design Expert to join our talented team.
Key Responsibilities- Lead the collection of business requirements to be translated into efficient data structures, ensuring data integrity and usability.
- Design, implement, and maintain data models that serve as the backbone of our organization's data infrastructure.
- Contribute to a center of excellence to set data design standards for the practice.
- Assess and produce data analytics artefacts, including data model, mapping, data flows, data lineage, metadata documentation, and transformations.
- Perform profiling and data analysis using advanced SQL/Python techniques on multiple platforms.
- Participate in the delivery and support of data quality, data consolidation, and data migration initiatives.
- Lead the data analytics design practice by defining and maintaining standards and best practices.
- Provide guidance, onboarding, and mentorship to new data designers.
- Collaborate with various stakeholders, including Architecture, Data Engineers, Product Management, DBAs, Infrastructure, and Data Governance teams.
- Bachelor's degree in Mathematics and Statistics/Computer Science/Business Analytics or other quantitative field.
- 10 years and more overall work experience.
- Minimum 5 years of data design and data modeling experience.
- Strong experience in requirements gathering, process analysis, and workflow modeling.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Experience in leading and participating in business workshops and business presentations.
- Experience with data design tools (Erwin Data Modeler r12.5 or similar version).
- Experience with dimensional modeling and relational database modeling techniques.
- Advanced SQL skills to support data profiling, unit testing, and data extraction.
- Experience in a Data Lake, Data Warehouse/Business Intelligence or relevant data environment.
- Proficiency working with Azure Data Lake (ADLS), Azure Data Factory, and Databricks.
- Experience working with DevOps CI/CD, Azure DevOps, or GitHub.
- Exposure to data modeling and data architecture best practices.
- Expert ability to identify data gaps and assess end-to-end data requirements.
- Ability to learn quickly, problem solve/troubleshoot, work independently or in a team.
- Excellent verbal and written communication skills and the ability to interact professionally with a diverse group.
