Azure Data Engineer

We are seeking a skilled Azure Data Engineer to design, build, and maintain scalable data solutions on the Azure platform. The ideal candidate will play a key role in developing robust data pipelines, ensuring data quality, and contributing to enterprise-wide analytics initiatives.

Key Responsibilities:

• Design and develop scalable data pipelines using SparkSQL 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.

Required Skills:

• Strong experience with the Azure ecosystem (Azure Databricks, Azure Data Factory, ADLS).
• Proficiency in PySpark and Spark SQL.
• Solid understanding of ETL processes and data pipeline development.
• Advanced SQL skills.