Data Modeller
Kolkata, West Bengal, India
Inspira
Reimagine Digital Transformation With Inspira Enterprise Your Trusted Partner for Cyber Security Services, Data Analytics, and AI Solutions.- 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.
- 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.
- 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.
- 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.
- 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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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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