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Job Description & How to Apply Below
Elevate your career as a Senior Azure Data Engineer, where you'll specialize in designing scalable data solutions and optimizing cloud pipelines. This position emphasizes advanced data engineering in an Azure environment.
In this senior role, you will craft and maintain ETL/ELT pipelines while utilizing Azure Data Factory, Databricks, and Azure Data Lake. Your expertise in SQL and Python will be crucial as you develop optimized data models and provide reliable datasets for analytics. Collaborating with analytics teams will enable you to deliver trusted data for business intelligence.
Key Responsibilities:
• Design scalable ETL/ELT pipelines for batch and real-time data
• Optimize SQL queries and data models for analytics
• Build processing solutions using Python and Py Spark
• Implement solutions with Azure Data Factory and Databricks
• Enhance pipeline performance and data quality
Requirements:
• 6+ years of data engineering experience
• Expert-level SQL and strong data modeling skills
• Proficient in Python and Py Spark
• Experience with Azure Data Lake and Azure Synapse
• Strong understanding of Data Ops and CI/CD practices
Shape the future of data engineering by leveraging your skills in Azure technologies.
Position Requirements
10+ Years
work experience
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