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Lead Data Engineer | Databricks | Azure | PySpark. You are an experienced Data Engineer with a passion for building scalable, production-grade data platforms. You thrive in environments where engineering excellence, automation, and data quality are key priorities. With strong expertise in Databricks, PySpark, and Azure technologies, you enjoy designing high-performance data solutions, driving technical improvements, and mentoring fellow engineers while contributing to a culture of continuous improvement and collaboration.
Job Responsibility
Design, build, and optimise scalable data pipelines using PySpark and Databricks
Develop and maintain high-quality Python code
Contribute to automated testing frameworks using pytest
Support and enhance CI/CD pipelines within Azure DevOps
Collaborate with cross-functional teams
Mentor junior and medior Data Engineers
Requirements
Around 10 years of experience in Data Engineering
Extensive hands-on experience with Databricks, PySpark, and Python
Strong experience with Azure Data Factory, Azure DevOps, CI/CD practices