Data Modeling

Does this position require Visa independent candidates only? No

Job Details:
Must Have Skills:
Working with the Business Units to identify the data requirements
Analyze and translate business needs into long term solution data models.
Evaluate existing data systems.

*Updated job description*

· A hands on, performing data assessment and profiling, building models whether they are unstructured in big data or dimensional and then implementing appropriate data structures into the consumption platform.

· Proficient in industry standard techniques for data modeling. The Data Modeler must be proficient in 3rd normal for relation modeling. Dimensional modeling experience is must for online analytical processing.

· Highly technical person responsible for the definition, development, implementation, and maintenance of logical and physical data models focusing on Data Warehouse/Data Lake environments.

· New business requirements are decomposed and implemented in a cohesive end to end design that enables data integrity and quality and best supports BI and analytic capability needs.

· Transform the logical representation of the model into physical representation and work with database administrator to instantiate and manage the data.

· The Data Modeler partners with ETL engineers, Database engineers, BI engineers, Quality Assurance, Product Owners, business analysts, architects, software engineers and others across teams to achieve project and business goals.

· Perform data warehouse/Data lake design, identifying the fit for purpose solutions

· Perform advanced level data modeling techniques.

· Perform advanced data analysis and data profiling and mentor others as needed

· Create and maintain data catalogue and metadata in order to support and communicate data assets to stakeholders

· Develop and maintain ETL specification documentation for data integration development

· Document and decompose project needs into Agile epics and stories working with the Product Owner

· Create, manage and/or provide oversight on team estimates for technical work

· Diagnose and resolve complex issues throughout data warehouse environment - security, data issues Drive continuous improvement of process, methods, technologies and services.

· Advance SQL skills

· Collaborate with software engineering and business teams to identify dependencies, data flows, assist with testing and overall cohesive of solutions in the environment

· Demonstrated knowledge of data warehouse architectures and best practices

· Strong knowledge of master data, data quality and meta data management concepts and practices and the relation to data warehousing and business intelligence

· Demonstrated knowledge of BI capabilities and types of reporting