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Experience: 812 Years Location: Pune Notice Period: Immediate to 30 Days Job Description We are looking for an experienced Azure Data Engineer with strong expertise in Azure Databricks, Azure Data Factory (ADF), PySpark, and SQL . The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and modern data engineering solutions on the Azure platform. Key Responsibilities Design, develop, and optimize ETL/ELT data pipelines using Azure Databricks and Azure Data Factory (ADF). Develop scalable data processing solutions using PySpark. Write complex SQL queries for data extraction, transformation, and reporting. Build and maintain data integration workflows across multiple data sources. Ensure data quality, performance optimization, and reliability of data pipelines. Collaborate with cross-functional teams to understand business requirements and deliver effective data solutions. Follow best practices for coding, testing, deployment, and documentation. Required Skills Azure Databricks Azure Data Factory (ADF) PySpark SQL Preferred Skills Azure Synapse Analytics Azure Data Lake Storage (ADLS) Azure Logic Apps Candidate Requirements 812 years of experience in Data Engineering. Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Immediate to 30 days' notice period preferred. Location: Pune
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