Data Engineer

Implement CI/CD pipelines and source control using Azure DevOps
Apply secure data engineering practices aligned with WBG data governance and compliance standards
Leverage AI assisted tools to improve developer productivity, code quality, and operational efficiency
Participate in design reviews, code reviews, and knowledge sharing sessions 
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
 
Primarily looking At
Azure Data Factory (ADF)
Dbt
Databricks
Python
Google Vertex