Azure AI Data Engineer

Job Description:We are looking for a skilled and motivated AI Azure Data Engineer with strong expertise in Microsoft Azure data services. The ideal candidate must have hands-on experience with Databricks or Microsoft Fabric and hold a valid certification in either. You will be responsible for designing, developing, and deploying scalable data pipelines, integrating AI/ML solutions, and supporting analytics platforms.Key Responsibilities:

• Design and develop end-to-end data pipelines using Azure Data Factory, Databricks, or Microsoft Fabric.
• Integrate structured and unstructured data from various sources into Azure data lakes or lakehouses.
• Optimize and manage data pipelines for performance, scalability, and reliability.
• Collaborate with Data Scientists and AI teams to deploy and operationalize ML models.
• Implement data governance, quality, and security standards across pipelines.
• Develop and maintain CI/CD pipelines for data projects using DevOps best practices.
• Create data visualizations and support analytics teams using tools like Power BI.

Required Skills & Qualifications:

• Minimum 3+ years of experience in data engineering with Azure ecosystem.
• Strong proficiency in Azure Data Factory, Azure Synapse, Azure Data Lake, Databricks, or Microsoft Fabric.
• Hands-on experience with Spark, Python, and SQL.
• Experience in AI/ML model integration or support is a plus.
• Proficiency in version control systems and DevOps tools.
• Strong understanding of data modeling, data warehousing, and ETL processes.

Certifications (Mandatory):

• Microsoft Certified: Azure Data Engineer Associate

OR

• Databricks Certified Data Engineer Associate/Professional

OR

• Microsoft Fabric Analytics Engineer Associate

Preferred:

• Experience with real-time data processing (e.g., Azure Stream Analytics, Kafka).
• Exposure to AI services in Azure (e.g., Azure Cognitive Services, Azure ML).
• Strong problem-solving and communication skills.

Job Types: Full-time, Permanent

Pay: ₹700,000.00 - ₹1,500,000.00 per year

Benefits:

• Work from home

Work Location: Remote