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Azure Data Engineer

RIT Solutions, Inc.

senior (1 2 + years ) Azure Data Analyst with extensive experience working with the Azure Data suite listed below. THE CLIENT WOULD LIKE TO SEE CERTIFICATIONS. ****CANDIDATES MUST HAVE RECENT CAPITAL MARKETS/TRADING AND/OR HEDGE FUND EXPERIENCE AND EXCELLENT COMMUNICATION SKILLS. HOT & MOVING FAST!! *** Candidate Must Have's on a resume and for submittal:

  1. How many years working with: zure Data Analyst
  2. How many years working with: zure Data Factory (ADF
  3. How many years working with: Azure Databricks (highlighted expertise)
  4. How many years working with: Logic Apps
  5. How many years working with: Capital Markets/Hedge Funds
Technical Skills: Programming & Tools: 10+ years of experience in SQL , Python . .Net is a plus. 5+ years of experience in Azure cloud services , including: Azure SQL Server Azure Data Factory (ADF) Azure Databricks (highlighted expertise) Azure Data Lake Storage (ADLS) Azure Key Vault Azure Functions Logic Apps 5+ years of experience in GIT and deploying code using CI/CD pipelines . Certifications (Preferred): Microsoft Certified: Azure Data Engineer Associate Databricks Certified Data Engineer Associate or Professional Responsibilities: Data Pipeline Development: Create and manage scalable data pipelines to collect, process, and store large volumes of data from various sources. Data Integration: Integrate data from multiple sources, ensuring consistency, quality, and reliability. Database Management: Design, implement, and optimize database schemas and structures to support data storage and retrieval. ETL Processes: Develop and maintain ETL (Extract, Transform, Load) processes to ensure accurate and efficient data movement between systems. Data Warehousing: Build and maintain data warehouses to support business intelligence and analytics needs. Performance Optimization: Optimize data processing and storage performance for efficient resource utilization and quick data retrieval. Documentation: Create and maintain comprehensive documentation for data pipelines, ETL processes, and database schemas. Monitoring and Troubleshooting: Monitor data pipelines and systems for performance and reliability, troubleshooting and resolving issues as they arise. Technology Evaluation: Stay updated with emerging technologies and best practices in data engineering, evaluating and recommending RIT Solutions, Inc.

Vacancy posted 4 days ago
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