Azure AI Data Engineer

Mandatory Skills
Qualifications
Strong expertise in Spark SQL and Python programming (Mandatory)
Azure Databricks Data Engineer with at least one real time project implementation
Hands on experience with DBT Core and/or DBT Cloud
Experience building and managing pipelines using Azure Data Factory
Proficiency with Azure DevOps (Repos, Pipelines, CI/CD)
Experience using AI tools (e.g., AI assisted development, data analysis, or automation tools)
Solid understanding of data warehousing concepts, ETL/ELT patterns, and distributed data processing
Ability to work in agile delivery models and collaborate with global teams

Preferred / Good to Have Skills
Databricks Certification & Associate or Professional (strongly preferred)
Experience with Azure data ecosystem (ADLS Gen2, Azure SQL, Synapse as applicable)
Exposure to data governance, metadata management, and security frameworks
Familiarity with performance tuning and cost optimization on Databricks
Experience supporting analytics or AI/ML workloads on cloud platforms.