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Required Skills & Qualifications:

• 8+ years of experience in data engineering, architecture, and cloud solutions .
• Expertise in Azure Data Platform (Azure Data Factory, Databricks, Synapse Analytics, Data Lake, Azure SQL, etc.).
• Strong SQL, Python, and Spark programming skills.
• Experience with Big Data processing frameworks and streaming technologies (Kafka, Event Hub, etc.).
• Hands-on experience with ETL/ELT pipelines , data modeling, and performance tuning.
• Knowledge of data governance, security, and compliance frameworks (GDPR, HIPAA, etc.) .
• Strong problem-solving skills and ability to work in agile environments .
• Excellent communication and stakeholder management skills

Preferred Qualifications:

• Azure certifications such as Microsoft Certified: Azure Data Engineer Associate .
• Experience with ML & AI-based data processing solutions on Azure

We are hiring a Data Engineering Lead with hands-on expertise in designing and delivering world-class, end-to-end data engineering solutions. The ideal candidate will have strong expertise in data architecture, ETL processes, big data technologies, and cloud-based solutions. You will work closely with stakeholders to design, build, and manage scalable data platforms that support business intelligence, analytics, and machine learning applications.

Key Responsibilities:

• Lead the design, development, and deployment of scalable data pipelines on Azure Cloud .
• Architect and implement data solutions using Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake, and Azure SQL .
• Optimize ETL/ELT pipelines for efficient data ingestion, transformation, and storage .
• Develop and maintain data models to support business reporting and analytics needs.
• Collaborate with data scientists, analysts, and business teams to enable data-driven decision-making.
• Implement data governance, security, and compliance best practices in alignment with industry standards.
• Monitor and troubleshoot data workflows , ensuring high availability and performance.
• Lead a team of data engineers , providing technical guidance, mentoring, and support.
• Stay updated with the latest Azure data technologies and industry trends to drive innovation.

Required Skills & Qualifications:

• 8+ years of experience in data engineering, architecture, and cloud solutions .
• Expertise in Azure Data Platform (Azure Data Factory, Databricks, Synapse Analytics, Data Lake, Azure SQL, etc.).
• Strong SQL, Python, and Spark programming skills.
• Experience with Big Data processing frameworks and streaming technologies (Kafka, Event Hub, etc.).
• Hands-on experience with ETL/ELT pipelines , data modeling, and performance tuning.
• Knowledge of data governance, security, and compliance frameworks (GDPR, HIPAA, etc.) .
• Strong problem-solving skills and ability to work in agile environments .
• Excellent communication and stakeholder management skills.

Preferred Qualifications:

• Azure certifications such as Microsoft Certified: Azure Data Engineer Associate .
• Experience with ML & AI-based data processing solutions on Azure.

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