
Azure AI Data Engineer
4 days ago
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, ₹1,500,000.00 per year
Benefits:
- Work from home
Work Location: Remote
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