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Data Modeler - GCP Big Query

Location: Anywhere in India, Experience: 8 years - 12 years
Posted On: 25-Feb-2021 | Last Date to Apply: 25-Mar-2021 | No: of Vacancies : 1

Company Profile:

Mondelez International, Inc. empowers people to snack right in over 150 countries around the world. We’re leading the future of snacking with iconic brands such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. Our 80,000+ colleagues around the world are key to the success of our business. Great people and great brands. That’s who we are. Join us on our mission to continue leading the future of snacking around the world by offering the right snack, for the right moment, made the right way.

Job description:

• Knowledgeable of all data model types and terminology including OLTP/OLAP, Normal Forms, dimensional, star, snowflake, cube, and graph/NOSQL. • Be able to speak to the differences in data modeling technology and philosophies of Codd, Kimball, and Inman. • Understand and clearly define differences between entities, tables, attributes, and columns. • Capable of building conceptual, logical, and physical data models in Erwin and/or ER Studio complete Have mastery of tools such as BigQuery, Hadoop, BI sufficient to perform data profiling - expert level in SQL Understand and apply data naming standards, and explain your definition of "best practices in data modeling" • Data profiling, assessment, and defining data changes needed to make the data the target level of business usefulness Data mapping from source to target data modelsDesign and Development of needed Data Architecture for their area of domain and ensures enterprise data is structured for ease of use • Governs the Data Flow & Model and Layering concept for their domain and ensure consistent and harmonized application • Develops and maintains an integrated, subject-oriented, predominantly conceptual and logical data model that represents essential data produced and consumed across the enterprise for a domain • Provides data architecture support and expertise to all major enterprise projects • Develops process for capturing and maintaining metadata from all data market place components • Level 3 support of all processes and solutions within a domain • Defines Archiving and housekeeping approach and ensures consistent use • Strong relational and dimensional Data modeling and information classification expertise

Key Qualifications






Gender Preference:


Job Type:

Full Time

Diversity Tags:

Not Applicable