Senior Lead Data Modeler - Telecom @ Teradata

Job Description

• 10-12 years of experience in Data warehousing in which 4-6 in data modelling.
• Work with the Application Development team to implement data strategies, build data flows and develop conceptual data models for Data warehouse.
• Create logical and physical data models using Erwin tool by best practices to ensure high data quality and reduced redundancy.
• Good Understanding of key Processes in Operating support system (OSS) and Billing Support System (BSS) stacks.
• Experience in working with Teradata Communication model (CLDM) or Sound business knowledge of any Telecom industry data model for data warehouse.
• Good to have knowledge of other industry data models. Implement Data Profiling and develop/maintain complete source to target mappings.
• Create, manage and modify logical and physical data models using a variety of data modelling philosophies and techniques including Inmon and Kimball.
• Stakeholder's interaction includes Enterprise Architects, Development Team, Business Intelligence team, technology vendors etc.

• Logical Modeling, Physical Modelling, Data profiling and Data Mapping
• Working experience with Teradata database, Indexes, TD SQLs, PI, MLPPI, Compression, Data Type selection and rightsizing, SI, JI, SOFT RI etc.
• Must be Ready to travel short-term and long-term for project assignment.
• Attitude towards learning business rules and integrate with data Model.
• Good understanding of Teradata database architecture and Teradata Physical Design.
• Good understanding of Data warehouse concepts, Data Governance and standardization processes.
• Understanding the Logical Data Model and creating the Physical
• Working Knowledge on multiple industries viz. Communication, Finance, Retail, Aviation, Manufacturing etc.

• Analyze business requirements to determine the data elements needed in the Semantic Layer and Core Layer data models to support the solution
• Interact with Business SMEs to understand required data elements, the business rules governing them and confirm definitions
• Create, manage and modify conceptual, logical and physical data models for the Core and Semantic Layers. Present data models to business and technical audiences for review and validation
• Create the PDM for the Landing, Staging and Source Image areas of the Acquisition Layer and Conduct the PDM review.

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Rs 0 - 50K PM Rs 50K - 1 LPA Rs 1.0 - 1.5 LPA Rs 1.5 - 2.0 LPA Rs 2.0 - 2.5 LPA Rs 2.5 - 3.0 LPA Rs 3.0 - 3.5 LPA Rs 3.5 - 4.0 LPA Rs 4.0 - 4.5 LPA Rs 4.5 - 5.0 LPA Rs 5 - 6 LPA Rs 6 - 7 LPA Rs 7 - 8 LPA Rs 8 - 9 LPA Rs 9 - 10 LPA Rs 10 - 12 LPA Rs 12 - 14 LPA Rs 14 - 16 LPA Rs 16 - 18 LPA Rs 18 - 20 LPA Rs 20 - 22 LPA Rs 22 - 24 LPA Rs 24 - 26 LPA Rs 26 - 28 LPA Rs 28 - 30 LPA Rs 30 - 32 LPA Rs 32 - 34 LPA Rs 34 - 36 LPA Rs 36 - 38 LPA Rs 38 - 40 LPA Rs 40 - 42 LPA Rs 42 - 44 LPA Rs 44 - 46 LPA Rs 46 - 48 LPA Rs 48 - 50 LPA Rs 50 - 75 LPA Rs 75 Lakh - 1C PA Rs 1 Crore+ PA

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