Job DescriptionRole Overview: We are seeking a Data Engineer with solid 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 efficient 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