Tekskills India Private Limited
Location
Chennai | India
Job description
Please find below JD
• Designs, models, documents, and guides the logical and conceptual relationship of data and database changes for complex applications.
• Design and develop data models that capture and represent complex data relationships, ensuring accuracy, efficiency, and scalability.
• Performs logical and physical data modeling, designs relational database models and creates physical data models from logical data models on Erwin.
• Collaborate with cross-functional teams to understand business requirements and translate them into logical and physical data models.
• Collaborate with business stakeholders, data engineers, and analysts to identify data modeling needs and translate them into effective solutions.
• Perform data profiling and analysis to understand data relationships, data dependencies, and data integration requirements.
• Define and enforce data modeling best practices, standards, and guidelines, including model management and version control, to ensure consistency and maintainability across the enterprise data architecture.
• Participate in data governance activities, including data lineage, data dictionary management, and metadata management.
• Facilitate the creation & migration of data objects (DDL) across Development/Quality Assurance/Production
• Create standards and/or do modeling to monitor and enhance capacity and performance. Communicates with technical, applications, and operational staff, in order to design an optimal database architecture (performance, accessibility, backup, and recovery plan).
• Analyzes and makes recommendations for improvements to existing software regarding database performance, stability, usability and scalability.
• Analyze existing data sources and identify opportunities for consolidation, integration, and standardization.
• Perform data profiling and analysis to identify data quality issues and propose solutions to address them.
• Experience in executing projects in an Agile environment.
• Experienced with architecting high performance application data services against data stores with very large amounts of data
• Experience with real time data streaming tools such as Kafka, Storm, NIFI, AWS Kinesis, Azure Stream Analytics
• Experience with microservices architecture
• Publish and communicate models to IT and User Teams
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