Data Modeller

Kolkata, West Bengal, India

Inspira

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  1. Data Modeling & Design:
    • Design and maintain conceptual, logical, and physical data models to support transactional, analytical, and data warehousing systems.
    • Develop data models to ensure data consistency, integrity, and quality across multiple banking functions and applications.
    • Define and implement the best practices for data modeling, data integration, and metadata management.
  2. Data Architecture Collaboration:
    • Collaborate with data architects to align models with enterprise data architecture and ensure optimal performance and scalability.
    • Work with database administrators to translate logical models into physical database structures and optimize them for performance.
  3. Data Quality & Governance:
    • Establish data standards, definitions, and quality rules to ensure data accuracy, consistency, and compliance.
    • Create and maintain data dictionaries and metadata repositories to support data governance and facilitate efficient data access.
  4. Stakeholder Engagement:
    • Engage with business stakeholders, data scientists, and IT teams to understand data requirements and translate business needs into robust data models.
    • Ensure data models support key business initiatives, such as regulatory reporting, analytics, and operational efficiency.
  5. Documentation & Best Practices:
    • Develop and maintain detailed documentation, including data models, entity-relationship diagrams, and mapping specifications.
    • Implement data modeling standards and mentor team members to promote best practices in data management.
 

Requirements:

  • Educational Qualification:
    • MBA / Engineering degree with relevant industry experience.
  • Experience:
    • Minimum of 10 years of experience in data modeling or as a data modeler within the banking industry.
    • Proven expertise in designing data models across at least three of the following areas:
      • Data Warehousing
      • Analytics & BI
      • Data Mining & Data Quality
      • Metadata Management
  • Technical Skills:
    • Proficiency in data modeling tools such as Erwin, IBM InfoSphere, or SAP PowerDesigner.
    • Strong SQL skills and experience in relational database systems like Oracle, SQL Server, or DB2.
    • Familiarity with big data technologies and NoSQL databases is a plus.
    • Knowledge of ETL processes and tools (e.g., Informatica, Talend) and experience working with BI tools (e.g., Tableau, Power BI).
    • Knowledge of SAS for analytics, data manipulation, and data management is a plus.
    • Strong understanding of data governance frameworks, data quality management, and regulatory compliance.
  • Soft Skills:
    • Strong analytical and problem-solving skills, with attention to detail and accuracy.
    • Excellent communication and interpersonal skills, with the ability to translate technical data concepts for business stakeholders.
    • Proven ability to work collaboratively in a cross-functional environment and manage multiple projects.
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Tags: Architecture Banking Big Data Data governance Data management Data Mining Data quality Data Warehousing DB2 Engineering ETL Informatica NoSQL Oracle Power BI RDBMS SAS SQL Tableau Talend

Region: Asia/Pacific
Country: India

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