Consultant Data Engineer - Databricks

Job Summary

We are seeking a skilled 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 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

Job Type

Full-time

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