Data Modeler

2 months ago

Dubai, United Arab Emirates GSSTech Group Full time

The **data modeler** designs, implements, and documents data design patterns and data modeling solutions, which include the use of relational, dimensional, and NoSQL databases. These solutions support enterprise-wide data products implementation and enabling all forms of data dependent use-cases.

**Key Responsibilities of Data Modeler**:

- **Be responsible for Creating / Maintaining / Optimizing **conceptual, logical, and physical data models, the implementation of operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL) using best practices to ensure high data quality and reduced redundancy.
- Implement business and IT data requirements through new data strategy and designs across all data platforms (relational, dimensional, and NoSQL) and relevant data tools (reporting, visualization, analytics, and machine learning)
- Defines and governs data modeling and design standards, tools, best practices, and related development for enterprise data models
- Managing the enhancements / expansion of existing data models and the optimization of data query performance via best practices
- Working closely with Data Domain Specialists & Data Product Owners for the understanding of Data Product level functional specifications, obtaining the business context and consumption patterns around the data
- Creating **Structure / Schema for Target Data **as per business requirements (nature of data + consumption patterns) by leveraging business context & data product functional specifications
- Performing Data Profiling as may be required to arrive at future proof data model design for Data Products
- **Providing Technical Specifications to development team (Data Engineering & BI teams) **as per final target schema for data (functional specifications are converted to fit into target structure)
- **Generating DDL (Create Table) Scripts **using Data Modeling Tool, working with Technology Engineers to create the required database objects onto the respective database platform and maintaining the required enhancements.
- Works proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks
- Working collaboratively with all involved teams and contributing to the advancement of data strategy operationalization

**Skills Required**:

- Bachelors/ master’s degree in information management, Computer Science & Engineering, or equivalent degree from an accredited academic institution or related experience
- Preferred Banking domain knowledge and multi-market experience
- Minimum 5+ years of hands-on relational, dimensional modeling, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).
- Experience and knowledge across different design patterns for Data Repositories such as Data Warehouse, Data Lake, Data Lakehouse, Data Mesh, Data Fabric and enterprise big data platforms including a full understanding of end-to-end data flow cycles
- **Core Skills Required**:

- **Expertise **in data modeling principles / methods including conceptual, logical & physical Data Models
- **Skills/Conceptual knowledge required to create optimal data models - **Star & Snowflake Schemas, Data Vault Methodologies, Dimensional Modeling techniques (Slowly Changing, Fast Changing, Snapshot methodology, Degenerated dimensions etc.), Normalization & Denormalization, Surrogate Key Concepts etc.,
- **Technical Skills Required**:

- **Hands-on expertise **on data modeling tools such as (SAP Power Designer, ERWin, ER/Studio etc.,)
- **Knowledge in Industry Reference data models**:IBM BFMDW, Teradata FSLDM, SAP FSDM etc.,
- **Best Practice / Design Standard Skills Required**:

- **Naming standards **for Schemas, Data Objects & Data Attributes
- Identifying best fit** data type & length for each data attribute **as part of physical data model etc.,
- Leveraging** common Master & Reference Data**:

- **Ensures no redundancy in terms of data objects design **based on nature of data (Master / Transactional / Reference)
- Ensuring Data Objects are designed to provide** long-term stability.**
- Robust knowledge of data, systems and querying tools like SAS/SQL and proven ability to quickly learn new systems and data environments.
- Preferred knowledge across all key facets of Data Management (Data Warehousing, BI, Data Governance, Data Quality, Master/Reference Data Management, Data Privacy Management, Application side Data Management and External Data Assets Management etc.,)
- Preferred knowledge in HADOOP, Oracle, PostgreSQL & SAP HANA database technology platforms
- Preferred knowledge in interacting with Data Governance tools (Informatica AXON-EDC-DEQ)

Collaborative team player with strong stakeholder management skills, who can think creatively and strategically while building cross-functional and cross-divisional relationships.

**Requirements**:
**Skills Required**:

- Bachelor’s/Master’s degree in

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