Freelance Data Engineer – Azure, Remote

This remote contract role offers an opportunity to play a key part in building and optimizing scalable data pipelines and services on the Azure platform. The position focuses on integrating data from diverse sources, enhancing data performance, and supporting analytics and AI-driven initiatives. The successful candidate will collaborate with a global team to deliver robust data solutions that drive business insights and operational efficiency. Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Data Factory and related Azure services
• Integrate and transform data from multiple sources, ensuring data quality and consistency
• Develop and optimize ETL processes and data models to support analytics and machine learning workflows
• Implement and manage CI/CD pipelines and version control for data engineering projects
• Collaborate with analytics, engineering, and business teams to deliver data solutions that meet project requirements
• Monitor, troubleshoot, and enhance data pipeline performance and reliability
• Support the deployment and maintenance of data services in a cloud environment

Skills And Requirements

• Minimum 5 years of experience in data engineering roles
• Advanced proficiency in SQL, PostgreSQL, and Python
• Strong hands-on experience with Azure Data Factory and related Azure data services
• Proven expertise in API development, data validation, and data modeling
• Experience developing and maintaining ETL pipelines in cloud environments
• Familiarity with CI/CD pipelines and version control systems (e.g., Git)
• Experience with Azure Synapse Analytics, Databricks, or machine learning data pipelines is a plus
• Excellent problem-solving skills and attention to detail
• Ability to work independently in a fully remote, global team setting
• Strong communication and collaboration skills

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