Oracle Data Warehouse Architect with Snowflake
DIRECTV Inc
Contract Dallas , Texas, United States Posted 1 month ago
About Position
Oracle Data Warehouse Architect with Snowflake (Contract)
$90.00 / Hourly
Dallas , Texas, United States
Oracle Data Warehouse Architect with Snowflake
Contract Dallas , Texas, United States Posted 1 month ago
Skills
Minimum of 7-10 years of experience in data warehousing and data architecture. Extensive experience with Oracle databases and Snowflake data warehousing solutions. Proven experience with ETL tools and processes. Strong background in integrating data warehouses with analytics tools such as Oracle Analytics Power BI Tableau etc. Proficient in SQL and PL/SQL. Deep understanding of data modeling concepts and best practices. Experience with cloud-based data warehousing solutions. Familiarity with big data technologies and frameworks is a plus.Description
We are seeking an experienced Oracle Data Warehouse Architect with a strong background in Snowflake and various analytics tools.
The ideal candidate will be responsible for architecting and designing data warehouse solutions that support our business intelligence and analytics needs.
This role requires a deep understanding of data architecture and warehousing principles, data modeling, ETL processes, and proficiency in Oracle and Snowflake environments.
Responsibilities
- Data Warehouse Architecture: Design, develop, and maintain scalable data warehouse solutions using Oracle and Snowflake.
- Data Modeling: Create and optimize logical and physical data models for data warehousing and analytics purposes.
- ETL Processes: Develop, implement, and manage ETL processes to ensure accurate and timely data integration from various sources.
- Performance Optimization: Monitor and optimize data warehouse performance, ensuring high availability and scalability.
- Analytics Tools Integration: Integrate data warehouse solutions with various analytics tools (e.g., Oracle Analytics, Power BI, Tableau etc) to support business intelligence initiatives.
- Data Governance: Implement data governance and best practices to ensure data quality, consistency, and security.
- Collaboration: Work closely with business stakeholders, data analysts, and other IT teams to understand data requirements and deliver effective solutions.
- Documentation: Maintain comprehensive documentation of data architecture, models, processes, and configurations.
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