Required Experience:3 Years
Data Development & Integration: Design and build data solutions using Azure Cloud Resources (ADLS, ADF, DataFlow) in accordance with organizational standards to ensure resilience and scalability.
• Data Modeling & Metadata Management: Create, update, and maintain data models based on business needs and manage metadata repositories to ensure accurate and up-to-date information.
• ETL Processes & Data Preparation: Extract, transform, and load data from various sources, ensuring data quality, integrity, and convergence of datasets using DBT.
• Programming & Scripting: Develop scripts and programs using Python, and employ Git for version control and code management.
• DevOps & Automation: Implement DevOps practices to automate workflows and ensure continuous integration and deployment.
• Problem Resolution & Advanced SQL: Use advanced SQL skills to resolve issues within databases, data products, and processes.
• Data Development & Integration: Design and build data solutions using Azure Cloud Resources (ADLS, ADF, DataFlow) in accordance with organizational standards to ensure resilience and scalability.
• Data Modeling & Metadata Management: Create, update, and maintain data models based on business needs and manage metadata repositories to ensure accurate and up-to-date information.
• ETL Processes & Data Preparation: Extract, transform, and load data from various sources, ensuring data quality, integrity, and convergence of datasets using DBT.
• Programming & Scripting: Develop scripts and programs using Python, and employ Git for version control and code management.
• DevOps & Automation: Implement DevOps practices to automate workflows and ensure continuous integration and deployment.
• Problem Resolution & Advanced SQL: Use advanced SQL skills to resolve issues within databases, data products, and processes.
Requirements:
• Over 3 years of experience working with Azure Cloud Resources (ADLS, ADF, DataFlow).
• At least 2 years of hands-on experience with DBT(Must).
• Proficiency in advanced SQL, data integration, and data modeling principles.
• Experience with Python programming and Git for version control.
• Familiarity with DevOps practices for automation and deployment.
• Strong technical and problem-solving skills.
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