Key Skills: Azure, Databricks, PySpark, Python, SQL
Responsibilities:
• Design, build, and optimize scalable data pipelines using Azure Databricks and PySpark.
• Develop efficient data models for large-scale datasets.
• Build batch and real-time data processing workflows.
• Work with Azure Data Lake and Azure Data Factory.
• Perform PySpark performance tuning and optimization.
• Develop data-processing solutions using Python and SQL.
• Optimize complex SQL queries for better performance.
• Follow strong coding, testing, and software engineering practices.
• Support CI/CD and automation for data applications.
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Valuable to Have: GitLab, CI/CD, PowerShell/Bash/Perl, Power BI, Agile/Scrum, and financial domain experience.
📌 Azure Fabric Data Engineer (India)
🏢 Tata Consultancy Services
📍 India
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