• US Citizen

• Green Card

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 11th May 2022

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