Description

Lead the architecture, design, and implementation of advanced analytics solutions on Azure.

This role is on-site.

Responsibilities

• Architect and implement data solutions using Azure Databricks, Fabric, and PySpark.
• Design and manage end-to-end ETL/ELT pipelines, data lakes, and warehousing structures.
• Integrate Azure Databricks with Azure Data Lake, Synapse, and Data Factory.
• Provide technical leadership and mentorship to the data engineering team.
• Ensure compliance with security, governance, and code quality standards.

Required Skills

• 10+ years of experience in data engineering and cloud computing.
• Deep expertise in Azure Databricks, Delta Lake, and PySpark.
• Strong proficiency in SQL and NoSQL databases.
• Experience with Azure services: Data Lake Gen2, Synapse, and Data Factory.
• Hands-on experience with ETL/ELT processes and data warehousing.
• Proficiency in CI/CD pipelines and version control (Git).
• Knowledge of cloud security best practices.

Preferred Skills

• Experience with Microsoft Fabric and Power BI for dashboarding and reporting.
• Familiarity with Spark Streaming and Azure Resource Manager (ARM) templates.

Key Skills

Education

Any Graduate