Job Description

• Candidate Should have hands-on experience on working in Cloud Based Datawarehouse Solution with below capabilities:
• Data Modeling: Design and implement data models based on business requirements.
• Optimize and normalize database structures for efficient data storage and retrieval.
• Database Development: Develop and maintain database schemas, tables, indexes, and views.
• Write efficient and optimized SQL queries for data manipulation and retrieval.
• ETL (Extract, Transform, Load)
• Design and implement ETL processes to extract data from various sources, transform it as needed, and load it into the target databases
• Experience on any ETL tools like Azure ADF/SAP BODS
• Data Integration: Integrate data from diverse sources and systems to create a unified view.
• Implement data integration solutions for real-time or batch processing.
• Extensive experience in data analysis using SQL, Python
• Design and develop data warehouses to support business intelligence and reporting needs.
• Optimize data warehouse performance and ensure scalability.
• Data Security: Implement and maintain security measures to protect sensitive data.
• Monitor and audit data access to ensure compliance with security policies.
• Performance Tuning: Identify and resolve performance issues in databases and data processing pipelines.
• Optimize queries and processes for better performance.
• Collaboration: Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders
• Communicate effectively to understand and address data requirements.
• Continuous Learning: Stay updated on industry trends, emerging technologies, and best practices in data development.
• Problem Solving: Identify and resolve data-related issues and challenges.
• Troubleshoot and debug issues in databases and data processing systems.

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