Azure Data Engineer_NEHA

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Azure Data Engineer_NEHA based in India.

This opportunity is ideal for a skilled data engineering professional who enjoys building modern, cloud-based data solutions using Microsoft Azure technologies. You will contribute to designing, developing, and optimizing scalable data pipelines that support business intelligence, analytics, and digital transformation initiatives. Working in a collaborative and remote environment, you will leverage your expertise in Azure services and programming to deliver reliable, high-performance data platforms. The role offers the chance to work on enterprise-grade projects while continuously expanding your technical capabilities in cloud engineering and data integration.

• Design, develop, and maintain scalable data pipelines and ETL processes using Microsoft Azure services to support business reporting and analytics.
• Build and optimize cloud-based data solutions utilizing Azure Data Factory, Azure Data Lake, and related Azure technologies.
• Develop and maintain data processing applications using Python, C#, Node.js, or other appropriate programming languages.
• Ensure data quality, integrity, security, and performance across cloud data platforms through monitoring, optimization, and best practices.
• Collaborate with cross-functional teams to understand business requirements and translate them into efficient data engineering solutions.
• Troubleshoot technical issues, optimize existing workflows, and contribute to the continuous improvement of data architecture and engineering standards.
• Document technical solutions, data workflows, and implementation processes to support ongoing maintenance and knowledge sharing.

Requirements

• 4–8 years of professional experience in data engineering, software development, or a related technical field.
• Strong hands-on experience with Microsoft Azure cloud services, particularly Azure Data Factory and Azure Data Lake.
• Proficiency in one or more programming languages, including Python, C#, or Node.js.
• Solid understanding of ETL processes, data integration, cloud architecture, and scalable data pipeline development.
• Experience working with enterprise data platforms and implementing reliable, high-performance data solutions.
• Strong analytical and problem-solving skills with the ability to troubleshoot and optimize complex data workflows.
• Excellent communication and collaboration skills, with the ability to work effectively in remote and cross-functional teams.
• Self-motivated, detail-oriented, and committed to delivering high-quality technical solutions within project timelines.

Benefits

• Full-time remote opportunity based in India.
• Opportunity to work on modern cloud-based data engineering projects.
• Exposure to enterprise Azure technologies and large-scale data environments.
• Collaborative and supportive team environment.
• Professional growth through challenging technical assignments.
• Flexible remote work model that promotes work-life balance.
• Opportunity to expand expertise across cloud engineering and data technologies.