Data Engineer

Mandatory Key skills: Azure ADF/DBT/Data bricks/ Python

Key Responsibilities
·        Design, develop, and maintain scalable data pipelines using Azure Databricks and Apache Spark
·        Implement complex data transformations using Spark SQL and Python (mandatory)
·        Build and manage analytics models using DBT Core / DBT Cloud, following analytics engineering best practices
·        Develop and orchestrate data ingestion and transformation workflows using Azure Data Factory
·        Ensure data quality, reliability, and performance across batch and near real-time pipelines
·        Integrate Databricks workloads with downstream reporting, analytics, and AI/ML use cases
·        Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
·        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