Data Engineer- Azure Architecture, Azure functions, App Services, Python, CI/CD

Job Summary

We are seeking an experienced Data Engineer to design, develop, and maintain robust data processing solutions within the Azure ecosystem. The candidate will be responsible for architecting Azure-based solutions, leveraging Azure Functions and App Services, and implementing CI/CD practices using Python. This role contributes to the organization’s goals by ensuring the efficient processing and utilization of data while supporting modern cloud infrastructures.

Responsibilities

• Design and build scalable data processing solutions using Azure Architecture.
• Develop, deploy, and maintain Azure Functions and App Services for robust data operations.
• Implement and uphold CI/CD pipelines to support effective development and deployment processes.
• Write efficient Python code for data manipulation, analysis, and integration across systems.
• Collaborate with cross-functional teams to integrate data solutions with various business processes.
• Optimize and troubleshoot existing data environments to improve performance and reliability.

Qualifications

• Technical Expertise: Proven experience with Azure Architecture, Azure Functions, and App Services.
• Programming Skills: Strong proficiency in Python, specifically for data engineering tasks.
• CI/CD Practices: Hands-on experience in setting up and managing Continuous Integration/Continuous Deployment pipelines.
• Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Analytical Skills: Strong problem-solving abilities and attention to detail.
• Communication: Excellent verbal and written communication skills.

Preferred Skills

• Familiarity with containerization tools such as Docker and Kubernetes.
• Knowledge of big data tools and frameworks.
• Experience with additional cloud services and multi-cloud architectures.
• Relevant certifications in Microsoft Azure or related cloud technologies.

Experience

• Minimum of 8+ years of relevant experience in data engineering or a related field.
• Extensive experience in designing, deploying, and managing data solutions on the Azure platform.

Environment

• Work Arrangement: Hybrid model with 2 to 3 days required in the office.
• Office Locations: Positions available across Noida, Gurgaon, Indore, and Hyderabad.
• Work Timing: 11:00 AM – 8:30 PM IST.

GrowthOpportunities

• Opportunities for professional development in advanced cloud technologies and data architecture.
• Potential for career advancement into senior technical or leadership roles within the data engineering space.

Benefits

• Competitive salary package aligned with industry standards.
• Flexible hybrid work schedule supporting a balanced work-life integration.
• Exposure to cutting-edge cloud technologies and innovative projects.
• Collaborative and dynamic work envi