Role Overview: We are seeking a Data Engineer with strong expertise in Databricks, PySpark, Python, and Data Lake environments to develop high-performance data transformation and analytics solutions. Key Responsibilities: Develop and optimize data transformation logic using PySpark on Azure Databricks . Work with Azure Data Lake (ADLS) to process and manage structured and unstructured data. Build effective data processing pipelines and support curated data layers (silver/gold) . Use Python for data transformation, automation, and performance optimization. Collaborate with stakeholders to deliver analytics-ready datasets and business insights . Must-Have Skills: Strong experience in Databricks and PySpark Proficiency in Python for data processing Implementation exp atlest 1 Project. Hands-on experience with Azure Data Lake (ADLS) Experience in data transformation and large-scale data processing