Data Engineer

Key Responsibilities:

• Design  and develop scalable data pipelines using Spark SQL and PySpark  on Azure Databricks
• Build and orchestrate ETL workflows using Azure Data Factory (ADF)
• Develop and maintain a modern Lakehouse architecture leveraging ADLS and Databricks
• Perform data preparation tasks including data cleaning, normalization, deduplication, and data type transformations
• Collaborate  with DevOps teams to deploy and manage solutions in production  environments
• Monitor data pipelines, identify issues, and implement corrective actions, including root cause analysis and resolution
• Actively  contribute as part of the global Analytics team, delivering data-driven insights and solutions
• Collaborate with Data Science and Business Intelligence teams to share best practices and drive innovation
• Lead data engineering projects and support cross-functional initiatives led by  other team members
• Apply      change management practices, including documentation, communication, and      training, to support system upgrades and data migrations