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About the role
Azure Data Engineer Location: Gurgaon Exp: 5+ Years Key Responsibilities Design, develop, and maintain data pipelines and ETL processes using Databricks, ADF, and Azure SQL. Implement data orchestration, automation, and cost optimization strategies on Azure. Develop and integrate REST APIs for data exchange and system interoperability. Ensure data quality, security, and user access management across platforms. Collaborate with cross-functional teams to deliver data solutions supporting analytics and business intelligence. Apply version control and code modularization best practices using GitHub and CI/CD pipelines. Monitor and optimize cloud infrastructure for performance and cost efficiency. Prepare technical documentation and deliver presentations using Excel, PowerPoint, and Word. Bachelor's degree with 5 to 6 years of experience. Required Skills : Languages: SQL (Advanced), Python (Advanced), REST API (Intermediate), Cloud Infrastructure: Azure (Intermediate), Tools: Databricks, ADLS, Azure SQL, ADF, GitHub, Visual Studio Code, SSMS, Concepts: CI/CD, Orchestration, Automation, Code Modularization, Versioning, Data Management, Data Engineering, Cost Management, ETL, User Access Management Good to Have: Data Analytics, AI/ML, Tableau, Power BI, PySpark
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