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Data Modeler

6.00 to 11.00 Years   Chennai,Bangalore, Noida, Hyderabad, Gurugram, Kolkata, Pune, Mumbai City, Delhi   26 Feb, 2025
CAPGEMINI TECHNOLOGY SERVICES INDIA LIMITED
Job LocationChennai,Bangalore, Noida, Hyderabad, Gurugram, Kolkata, Pune, Mumbai City, Delhi
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT Services & Consulting
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

    Role - Data ModelerJob DetailsKey Responsibilities:
    • Design and develop conceptual, logical, and physical data models for enterprise applications.
    • Define and enforce data modeling standards, best practices, and governance processes.
    • Work closely with business analysts and stakeholders to translate business requirements into effective data models.
    • Develop and maintain data dictionaries, metadata repositories, and entity-relationship (ER) diagrams.
    • Optimize database schemas, indexing strategies, and data structures for performance and scalability.
    • Collaborate with ETL developers, database administrators, and data engineers to implement models in databases and data warehouses.
    • Ensure data consistency, integrity, and security across different systems.
    • Support master data management (MDM) initiatives by defining data ownership, hierarchies, and relationships.
    • Participate in data governance efforts, including data lineage, quality, and compliance.
    • Stay updated with industry trends, data modeling tools, and emerging technologies to recommend improvements.
    Qualifications:
    • Bachelors or Masters degree in Computer Science, Information Technology, Data Science, or a related field.
    • Proven experience in data modeling, database design, and data architecture.
    • Proficiency in data modeling tools such as Erwin, IBM Data Architect, SAP PowerDesigner, or ER/Studio.
    • Strong understanding of relational databases (SQL Server, Oracle, PostgreSQL, MySQL) and NoSQL databases (MongoDB, Cassandra, DynamoDB).
    • Knowledge of data warehousing concepts, dimensional modeling (Kimball/Inmon methodologies), and OLAP/OLTP systems. Experience with big data platforms (Hadoop, Snowflake, Google BigQuery, Amazon Redshift) is a plus.
    • Strong expertise in SQL for database querying, schema design, and optimization.
    • Familiarity with ETL processes, data pipelines, and cloud-based data architectures (AWS, Azure, GCP).
    • Understanding of data governance, security, compliance (GDPR, HIPAA, SOX), and metadata management.
    Preferred Qualifications:
    • Familiarity with graph databases (Neo4j, Amazon Neptune).
    • Certification in data modeling, database design, or cloud data services.
    • Expertise in any of the Domain with understanding of Domain based model
    Soft Skills:
    • Strong analytical and problem-solving skills.
    • Excellent communication and stakeholder management skills.
    • Detail-oriented with a focus on data quality and consistency.
    • Ability to work collaboratively in cross-functional teams

Keyskills :
datamodelerdata modelingmodelingdimensional modeling

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