Design and develop logical, physical, and conceptual data models to represent key business entities and relationships.
Utilize tools such as Erwin or other relevant data modelling software to create accurate data models on the Azure platform.
Perform data profiling and analysis to refine, validate, and maintain data models.
Communicate physical database designs to DBAs and explain their impacts on overall data models.
Collaborate with business and development teams to translate requirements into Big Data solutions and detailed technical specifications.
Present and communicate modelling results, insights, and recommendations to internal stakeholders.
Establish and enforce governance processes to ensure architecture compliance during implementation.
Engage proactively with stakeholders to address business problems through data-driven insights and strategic recommendations.
Analyze system integration challenges and propose scalable, data-centric solutions.
Ensure compliance with data governance, security policies, and industry best practices.
Collaborate internationally with cross-functional stakeholders and engage with clients to clarify requirements.
Coordinate and plan Cloud Infrastructure activities and manage system outages effectively.
Optimize data model performance through caching, parallel execution, and bulk loading techniques.
Lead and mentor junior consultants, providing guidance to ensure high-quality delivery.
Build, test, and maintain robust database pipeline architectures aligned with organizational goals.
Required Skills and Experience :
8- 10 years of experience in data modelling for data warehousing and Big Data solutions.
Proficiency in Erwin or similar data modelling tools.
Strong experience with the Azure cloud platform and its related data services.
Excellent skills in data profiling, data analysis, and performance tuning.
Outstanding communication skills with the ability to present complex data concepts clearly and
effectively.
Proven leadership and mentoring capabilities.
Experience enforcing data governance and security policies.
Domain expertise in at least one of the following : Manufacturing, Sales, Supply Chain, or Finance.
Preferred Qualifications
Bachelors or Masters degree in Information Systems, Data Science, or a related field.
Experience working in international and cross-functional teams.
(ref : iimjobs.com)
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