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 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