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.

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