Job Description :
We are looking for an experienced Azure Data Engineer with robust expertise in Azure Databricks, PySpark, and Azure Data Platform services to design, develop, and optimize scalable data solutions.
Key Responsibilities :
• Design and build scalable data pipelines using Azure Databricks and PySpark.
• Develop and maintain ETL/ELT workflows for batch and real-time data processing.
• Work with Azure Data Factory (ADF), Azure Data Lake Storage (ADLS Gen2), and Azure SQL services.
• Optimize data processing performance and ensure data quality and reliability.
• Collaborate with business stakeholders, data analysts, and architects to deliver data solutions.
• Implement data governance, security,
and best practices in cloud data platforms.
Required Skills :
• Strong hands-on experience with Azure Databricks and PySpark.
• Experience with Azure Data Factory (ADF) and ADLS Gen2.
• Proficiency in SQL and data modeling concepts.
• Good understanding of ETL, data warehousing, and big data processing.
• Experience with Git, CI/CD, and Agile methodologies.
Preferred Skills :
• Experience with Delta Lake, Spark Optimization, and Data Lake architecture.
• Knowledge of Azure Synapse Analytics.
• Azure Certification would be an added advantage.
📌 Azure Data Engineer (India)
🏢 Tata Consultancy Services
📍 India
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