Datawarehouse Management Jobs – Apply to Latest Datawarehouse Management Job Vacancies

2.0 - 5.0 years

3 - 6 Lacs

Ahmedabad

Work from Office

Roles and Responsibility : 1. Database and Datawarehouse Expertise: Demonstrate excellent understanding of Database and Datawarehouse concepts. Strong proficiency in writing SQL queries. 2. Snowflake Cloud Data Warehouse: Design and implement Snowflake cloud data warehouse. Develop and implement cloud-related architecture and data modeling. 3. Migration Projects: Manage migration projects, specifically migrating from On-prem to Snowflake. 4. Snowflake Capabilities: Utilize comprehensive knowledge of Snowflake capabilities such as Snow pipe, Stages, SnowSQL, Streams, and tasks. 5. Advanced Snowflake Concepts: Implement advanced Snowflake concepts like setting up resource monitor, RBAC controls, Virtual Warehouse sizing, Zero copy clone. 6. Data Migration Expertise: Possess in-depth knowledge and experience in data migration from RDBMS to Snowflake cloud data warehouse. 7. Snowflake Feature Deployment: Deploy Snowflake features such as data sharing, event, and lake house patterns. 8. Incremental Extraction Loads: Execute Incremental extraction loads, both batched and streaming.

Posted 14 hours ago

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Datawarehouse Developer Evnek

4.0 - 6.0 years

6 - 12 Lacs

Hyderabad

Work from Office

Proven expert at writing SQL code with at least 5+ years of experience. DW BI- Data Warehouse with BI tools. ETL, SSIS, SQL, AWS Responsibilities: Design, develop, and maintain data warehouse solutions to support business intelligence and analytics requirements. Implement ETL (Extract, Transform, Load) processes to integrate data from various sources into the data warehouse. Develop and optimize data models, schemas, and databases to ensure efficient data storage and retrieval. Collaborate with business analysts, data scientists, and other stakeholders to understand data requirements and translate them into technical specifications. Ensure data quality, integrity, and consistency by implementing data validation, cleansing, and transformation processes. Monitor and maintain the performance, availability, and security of the data warehouse. Develop and maintain documentation for data warehouse architectures, processes, and procedures. Stay current with industry trends, best practices, and emerging technologies in data warehousing and business intelligence. Troubleshoot and resolve issues related to data warehouse performance, data integration, and data quality. Provide support and training to end-users on data warehouse tools and applications.

Posted 3 weeks ago

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